{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,24]],"date-time":"2026-09-24T23:18:33Z","timestamp":1790291913607,"version":"4.1.0"},"reference-count":79,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2014,3,25]],"date-time":"2014-03-25T00:00:00Z","timestamp":1395705600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int J CARS"],"published-print":{"date-parts":[[2014,11]]},"DOI":"10.1007\/s11548-014-0992-1","type":"journal-article","created":{"date-parts":[[2014,3,24]],"date-time":"2014-03-24T08:21:13Z","timestamp":1395649273000},"page":"1005-1020","source":"Crossref","is-referenced-by-count":71,"title":["Optimization of breast mass classification using sequential forward floating selection (SFFS) and a support vector machine (SVM) model"],"prefix":"10.1007","volume":"9","author":[{"given":"Maxine","family":"Tan","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiantao","family":"Pu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bin","family":"Zheng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2014,3,25]]},"reference":[{"key":"992_CR1","unstructured":"American Cancer Society (2013) Cancer facts & figures 2013. http:\/\/www.cancerorg\/research\/cancerfactsstatistics\/cancerfactsfigures2013\/index"},{"issue":"1","key":"992_CR2","doi-asserted-by":"crossref","first-page":"11","DOI":"10.3322\/caac.21166","volume":"63","author":"R Siegel","year":"2013","unstructured":"Siegel R, Naishadham D, Jemal A (2013) Cancer statistics. CA Cancer J Clin 63(1):11\u201330","journal-title":"CA Cancer J Clin"},{"issue":"22","key":"992_CR3","doi-asserted-by":"crossref","first-page":"1681","DOI":"10.1093\/jnci\/87.22.1681","volume":"87","author":"MP Madigan","year":"1995","unstructured":"Madigan MP, Ziegler RG, Benichou J, Byrne C, Hoover RN (1995) Proportion of breast cancer cases in the United States explained by well-established risk factors. J Natl Cancer Inst 87(22):1681\u20131685","journal-title":"J Natl Cancer Inst"},{"issue":"10","key":"992_CR4","doi-asserted-by":"crossref","first-page":"680","DOI":"10.1093\/jnci\/djq088","volume":"102","author":"E Amir","year":"2010","unstructured":"Amir E, Freedman OC, Seruga B, Evans DG (2010) Assessing women at high risk of breast cancer: a review of risk assessment models. J Natl Cancer Inst 102(10):680\u2013691","journal-title":"J Natl Cancer Inst"},{"issue":"3","key":"992_CR5","doi-asserted-by":"crossref","first-page":"861","DOI":"10.1148\/radiol.2243011482","volume":"224","author":"EA Sickles","year":"2002","unstructured":"Sickles EA, Wolverton DE, Dee KE (2002) Performance parameters for screening and diagnostic mammography: specialist and general radiologists. Radiology 224(3):861\u2013869","journal-title":"Radiology"},{"issue":"3\u20134","key":"992_CR6","doi-asserted-by":"crossref","first-page":"312","DOI":"10.1016\/j.jfranklin.2006.09.003","volume":"344","author":"RM Rangayyan","year":"2007","unstructured":"Rangayyan RM, Ayres FJ, Desautels JEL (2007) A review of computer-aided diagnosis of breast cancer: toward the detection of subtle signs. J Frankl Inst Eng Appl Math 344(3\u20134):312\u2013348","journal-title":"J Frankl Inst Eng Appl Math"},{"issue":"2","key":"992_CR7","doi-asserted-by":"crossref","first-page":"87","DOI":"10.1016\/j.media.2009.12.005","volume":"14","author":"A Oliver","year":"2010","unstructured":"Oliver A, Freixenet J, Marti J, Perez E, Pont J, Denton ERE, Zwiggelaar R (2010) A review of automatic mass detection and segmentation in mammographic images. Med Image Anal 14(2):87\u2013110","journal-title":"Med Image Anal"},{"issue":"6","key":"992_CR8","doi-asserted-by":"crossref","first-page":"2052","DOI":"10.1118\/1.3121511","volume":"36","author":"M Elter","year":"2009","unstructured":"Elter M, Horsch A (2009) CADx of mammographic masses and clustered microcalcifications: a review. Med Phys 36(6):2052\u20132068","journal-title":"Med Phys"},{"issue":"6","key":"992_CR9","doi-asserted-by":"crossref","first-page":"749","DOI":"10.1007\/s11548-011-0553-9","volume":"6","author":"A Horsch","year":"2011","unstructured":"Horsch A, Hapfelmeier A, Elter M (2011) Needs assessment for next generation computer-aided mammography reference image databases and evaluation studies. Int J CARS 6(6):749\u2013767","journal-title":"Int J CARS"},{"key":"992_CR10","doi-asserted-by":"crossref","first-page":"425","DOI":"10.1088\/0031-9155\/51\/2\/016","volume":"51","author":"C Varela","year":"2006","unstructured":"Varela C, Timp S, Karssemeijer N (2006) Use of border information in the classification of mammographic masses. Phys Med Biol 51:425\u2013441","journal-title":"Phys Med Biol"},{"key":"992_CR11","doi-asserted-by":"crossref","unstructured":"te Brake GM, Karssemeijer N, Hendriks JH (2000) An automatic method to discriminate malignant masses from normal tissue in digital mammograms. Phys Med Biol 45(10):2843\u20132857","DOI":"10.1088\/0031-9155\/45\/10\/308"},{"issue":"1","key":"992_CR12","doi-asserted-by":"crossref","first-page":"280","DOI":"10.1118\/1.2820630","volume":"35","author":"J Shi","year":"2008","unstructured":"Shi J, Sahiner B, Chan HP, Ge J, Hadjiiski L, Helvie MA, Nees A, Wu YT, Wei J, Zhou C, Zhang Y, Cui J (2008) Characterization of mammographic masses based on level set segmentation with new image features and patient information. Med Phys 35(1):280\u2013290","journal-title":"Med Phys"},{"issue":"8","key":"992_CR13","doi-asserted-by":"crossref","first-page":"683","DOI":"10.1007\/s11517-006-0077-6","volume":"44","author":"RJ Nandi","year":"2006","unstructured":"Nandi RJ, Nandi AK, Rangayyan RM, Scutt D (2006) Classification of breast masses in mammograms using genetic programming and feature selection. Med Bio Eng Comput 44(8):683\u2013694","journal-title":"Med Bio Eng Comput"},{"issue":"6","key":"992_CR14","doi-asserted-by":"crossref","first-page":"799","DOI":"10.1109\/42.650876","volume":"16","author":"RM Rangayyan","year":"1997","unstructured":"Rangayyan RM, El-Faramawy NM, Desautels JE, Alim OA (1997) Measures of acutance and shape for classification of breast tumors. IEEE Trans Med Imaging 16(6):799\u2013810. doi: 10.1109\/42.650876","journal-title":"IEEE Trans Med Imaging"},{"key":"992_CR15","unstructured":"Suckling J, Parker J, Dance DR, Astley S, Hutt I, Boggis C, Ricketts I, Stamatakis E, Cerneaz N, Kok SL, Taylor PM, Betal D, Savage J (1994) The mammographic image analysis society digital mammogram database. In: Proceedings of the 2nd international workshop on digital mammography, pp 375\u2013378"},{"key":"992_CR16","doi-asserted-by":"crossref","first-page":"596","DOI":"10.1016\/j.nima.2006.08.093","volume":"569","author":"A Retico","year":"2006","unstructured":"Retico A, Delogu P, Fantacci ME, Kasae P (2006) An automatic system to discriminate malignant from benign massive lesions on mammograms. Nucl Instrum Meth Phys Res Sect A 569:596\u2013600","journal-title":"Nucl Instrum Meth Phys Res Sect A"},{"issue":"1","key":"992_CR17","doi-asserted-by":"crossref","first-page":"80","DOI":"10.1016\/j.ejrad.2004.12.015","volume":"54","author":"M Mavroforakis","year":"2005","unstructured":"Mavroforakis M, Georgiou H, Dimitropoulos N, Cavouras D, Theodoridis S (2005) Significance analysis of qualitative mammographic features, using linear classifiers, neural networks and support vector machines. Eur J Radiol 54(1):80\u201389","journal-title":"Eur J Radiol"},{"issue":"4","key":"992_CR18","doi-asserted-by":"crossref","first-page":"664","DOI":"10.1109\/42.251116","volume":"12","author":"J Kilday","year":"1993","unstructured":"Kilday J, Palmieri F, Fox MD (1993) Classifying mammographic lesions using computerized image analysis. IEEE Trans Med Imaging 12(4):664\u2013669","journal-title":"IEEE Trans Med Imaging"},{"issue":"1","key":"992_CR19","doi-asserted-by":"crossref","first-page":"111","DOI":"10.1118\/1.2143139","volume":"33","author":"B Zheng","year":"2006","unstructured":"Zheng B, Lu A, Hardesty LA, Sumkin JH, Hakim CM, Ganott MA, Gur D (2006) A method to improve visual similarity of breast masses for an interactive computer-aided diagnosis environment. Med Phys 33(1):111\u2013117","journal-title":"Med Phys"},{"issue":"12","key":"992_CR20","doi-asserted-by":"crossref","first-page":"1275","DOI":"10.1109\/42.974922","volume":"20","author":"B Sahiner","year":"2001","unstructured":"Sahiner B, Petrick N, Chan HP, Hadjiiski LM, Paramagul C, Helvie MA, Gurcan MN (2001) Computer-aided characterization of mammographic masses: accuracy of mass segmentation and its effects on characterization. IEEE Trans Med Imaging 20(12):1275\u20131284. doi: 10.1109\/42.974922","journal-title":"IEEE Trans Med Imaging"},{"issue":"12","key":"992_CR21","doi-asserted-by":"crossref","first-page":"1170","DOI":"10.1109\/42.819326","volume":"18","author":"LM Bruce","year":"1999","unstructured":"Bruce LM, Adhami RR (1999) Classifying mammographic mass shapes using the wavelet transform modulus-maxima method. IEEE Trans Med Imaging 18(12):1170\u20131177. doi: 10.1109\/42.819326","journal-title":"IEEE Trans Med Imaging"},{"issue":"3","key":"992_CR22","doi-asserted-by":"crossref","first-page":"155","DOI":"10.1016\/S1076-6332(98)80278-X","volume":"5","author":"Z Huo","year":"1998","unstructured":"Huo Z, Giger ML, Vyborny CJ, Wolverton DE, Schmidt RA, Doi K (1998) Automated computerized classification of malignant and benign masses on digitized mammograms. Acad Radiol 5(3):155\u2013168","journal-title":"Acad Radiol"},{"issue":"12","key":"992_CR23","doi-asserted-by":"crossref","first-page":"1077","DOI":"10.1016\/S1076-6332(00)80060-4","volume":"7","author":"Z Huo","year":"2000","unstructured":"Huo Z, Giger ML, Vyborny CJ, Wolverton DE, Metz CE (2000) Computerized classification of benign and malignant masses on digitized mammograms: a study of robustness. Acad Radiol 7(12):1077\u20131084","journal-title":"Acad Radiol"},{"issue":"4","key":"992_CR24","doi-asserted-by":"crossref","first-page":"516","DOI":"10.1118\/1.598228","volume":"25","author":"B Sahiner","year":"1998","unstructured":"Sahiner B, Chan HP, Petrick N, Helvie MA, Goodsitt MM (1998) Computerized characterization of masses on mammograms: the rubber band straightening transform and texture analysis. Med Phys 25(4):516\u2013526","journal-title":"Med Phys"},{"issue":"10","key":"992_CR25","doi-asserted-by":"crossref","first-page":"2853","DOI":"10.1088\/0031-9155\/43\/10\/014","volume":"43","author":"B Sahiner","year":"1998","unstructured":"Sahiner B, Chan HP, Petrick N, Helvie MA, Goodsitt MM (1998) Design of a high-sensitivity classifier based on a genetic algorithm: application to computer-aided diagnosis. Phys Med Biol 43(10):2853\u20132871","journal-title":"Phys Med Biol"},{"issue":"12","key":"992_CR26","doi-asserted-by":"crossref","first-page":"1178","DOI":"10.1109\/42.819327","volume":"18","author":"L Hadjiiski","year":"1999","unstructured":"Hadjiiski L, Sahiner B, Chan HP, Petrick N, Helvie M (1999) Classification of malignant and benign masses based on hybrid ART2LDA approach. IEEE Trans Med Imaging 18(12):1178\u20131187. doi: 10.1109\/42.819327","journal-title":"IEEE Trans Med Imaging"},{"issue":"12","key":"992_CR27","doi-asserted-by":"crossref","first-page":"2956","DOI":"10.1016\/j.sigpro.2008.07.001","volume":"88","author":"D Ververidis","year":"2008","unstructured":"Ververidis D, Kotropoulos C (2008) Fast and accurate sequential floating forward feature selection with the Bayes classifier applied to speech emotion recognition. Signal Process 88(12):2956\u20132970. doi: 10.1016\/j.sigpro.2008.07.001","journal-title":"Signal Process"},{"issue":"12","key":"992_CR28","doi-asserted-by":"crossref","first-page":"2275","DOI":"10.1109\/TPAMI.2009.84","volume":"31","author":"D Ververidis","year":"2009","unstructured":"Ververidis D, Kotropoulos C (2009) Information loss of the mahalanobis distance in high dimensions: application to feature selection. IEEE Trans Pattern Anal Mach Intell 31(12):2275\u20132281. doi: 10.1109\/tpami.2009.84","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"10","key":"992_CR29","doi-asserted-by":"crossref","first-page":"1171","DOI":"10.1016\/j.acra.2009.04.009","volume":"16","author":"SC Park","year":"2009","unstructured":"Park SC, Wang XH, Zheng B (2009) Assessment of performance improvement in content-based medical image retrieval schemes using fractal dimension. Acad Radiol 16(10):1171\u20131178","journal-title":"Acad Radiol"},{"issue":"3","key":"992_CR30","doi-asserted-by":"crossref","first-page":"579","DOI":"10.2214\/ajr.182.3.1820579","volume":"182","author":"B Zheng","year":"2004","unstructured":"Zheng B, Leader JK, Abrams G, Shindel B, Catullo V, Good WF, Gur D (2004) Computer-aided detection schemes: the effect of limiting the number of cued regions in each case. Am J Roentgenol 182(3):579\u2013583. doi: 10.2214\/ajr.182.3.1820579","journal-title":"Am J Roentgenol"},{"issue":"2","key":"992_CR31","doi-asserted-by":"crossref","first-page":"418","DOI":"10.1148\/radiol.2332040277","volume":"233","author":"D Gur","year":"2004","unstructured":"Gur D, Stalder JS, Hardesty LA, Zheng B, Sumkin JH, Chough DM, Shindel BE, Rockette HE (2004) Computer-aided detection performance in mammographic examination of masses: assessment. Radiology 233(2):418\u2013423. doi: 10.1148\/radiol.2332040277","journal-title":"Radiology"},{"issue":"11","key":"992_CR32","doi-asserted-by":"crossref","first-page":"959","DOI":"10.1016\/S1076-6332(05)80696-8","volume":"2","author":"B Zheng","year":"1995","unstructured":"Zheng B, Chang Y-H, Gur D (1995) Computerized detection of masses in digitized mammograms using single-image segmentation and a multilayer topographic feature analysis. Acad Radiol 2(11):959\u2013966","journal-title":"Acad Radiol"},{"issue":"4","key":"992_CR33","doi-asserted-by":"crossref","first-page":"949","DOI":"10.1088\/0031-9155\/54\/4\/009","volume":"54","author":"XH Wang","year":"2009","unstructured":"Wang XH, Park SC, Zheng B (2009) Improving performance of content-based image retrieval schemes in searching for similar breast mass regions: an assessment. Phys Med Biol 54(4):949\u2013961. doi: 10.1088\/0031-9155\/54\/4\/009","journal-title":"Phys Med Biol"},{"key":"992_CR34","doi-asserted-by":"crossref","first-page":"457","DOI":"10.1007\/978-94-011-5318-8_75","volume":"13","author":"M Heath","year":"1998","unstructured":"Heath M, Bowyer K, Kopans D, Kegelmeyer P Jr, Moore R, Chang K, Munishkumaran S (1998) Current status of the digital database for screening mammography. Digit Mammogr 13:457\u2013460. doi: 10.1007\/978-94-011-5318-8_75","journal-title":"Digit Mammogr"},{"key":"992_CR35","doi-asserted-by":"crossref","unstructured":"Tan M, Pu J, Zheng B (2014) A new mass classification system derived from multiple features and a trained MLP model. In: Proc SPIE (Medical Imaging 2014: Computer-Aided Diagnosis) Accepted","DOI":"10.1117\/12.2042522"},{"issue":"4","key":"992_CR36","doi-asserted-by":"crossref","first-page":"646","DOI":"10.1016\/j.patcog.2005.07.006","volume":"39","author":"HD Cheng","year":"2006","unstructured":"Cheng HD, Shi XJ, Min R, Hu LM, Cai XP, Du HN (2006) Approaches for automated detection and classification of masses in mammograms. Pattern Recognit 39(4):646\u2013668. doi: 10.1016\/j.patcog.2005.07.006","journal-title":"Pattern Recognit"},{"issue":"9","key":"992_CR37","doi-asserted-by":"crossref","first-page":"3135","DOI":"10.1118\/1.2237476","volume":"33","author":"B Zheng","year":"2006","unstructured":"Zheng B, Leader JK, Abrams GS, Lu AH, Wallace LP, Maitz GS, Gur D (2006) Multiview-based computer-aided detection scheme for breast masses. Med Phys 33(9):3135\u20133143","journal-title":"Med Phys"},{"issue":"6","key":"992_CR38","doi-asserted-by":"crossref","first-page":"1403","DOI":"10.1142\/S0218001493000686","volume":"7","author":"L Shen","year":"1993","unstructured":"Shen L, Rangayyan RM, Desautels JEL (1993) Detection and classification of mammographic calcifications. Int J Pattern Recognit Artif Intell 7(6):1403\u20131416","journal-title":"Int J Pattern Recognit Artif Intell"},{"issue":"2","key":"992_CR39","doi-asserted-by":"crossref","first-page":"297","DOI":"10.1148\/radiology.173.2.2678242","volume":"173","author":"EA Sickles","year":"1989","unstructured":"Sickles EA (1989) Breast masses: mammographic evaluation. Radiology 173(2):297\u2013303","journal-title":"Radiology"},{"issue":"3","key":"992_CR40","doi-asserted-by":"crossref","first-page":"204","DOI":"10.1016\/S0037-198X(05)80080-X","volume":"28","author":"CJ D\u2019Orsi","year":"1993","unstructured":"D\u2019Orsi CJ, Kopans DB (1993) Mammographic feature analysis. Semin Roentgenol 28(3):204\u2013230","journal-title":"Semin Roentgenol"},{"issue":"4","key":"992_CR41","doi-asserted-by":"crossref","first-page":"841","DOI":"10.1148\/radiographics.13.4.8356272","volume":"13","author":"T Franquet","year":"1993","unstructured":"Franquet T, De Miguel C, Cozcolluela R, Donoso L (1993) Spiculated lesions of the breast: mammographic-pathologic correlation. Radiographics 13(4):841\u2013852","journal-title":"Radiographics"},{"issue":"9","key":"992_CR42","doi-asserted-by":"crossref","first-page":"1077","DOI":"10.1109\/TMI.2004.828675","volume":"23","author":"R Zwiggelaar","year":"2004","unstructured":"Zwiggelaar R, Astley SM, Boggis CRM, Taylor CJ (2004) Linear structures in mammographic images: detection and classification. IEEE Trans Med Imaging 23(9):1077\u20131086. doi: 10.1109\/tmi.2004.828675","journal-title":"IEEE Trans Med Imaging"},{"key":"992_CR43","doi-asserted-by":"crossref","unstructured":"Sampat MP, Whitman GJ, Markey MK, Bovik AC (2005) Evidence based detection of spiculated masses and architectural distortions. In: Medical imaging 2005: image processing, pp 26\u201337","DOI":"10.1117\/12.595331"},{"issue":"3","key":"992_CR44","doi-asserted-by":"crossref","first-page":"703","DOI":"10.1148\/radiology.215.3.r00jn38703","volume":"215","author":"CJ Vyborny","year":"2000","unstructured":"Vyborny CJ, Doi T, O\u2019Shaughnessy KF, Romsdahl HM, Schneider AC, Stein AA (2000) Breast cancer: importance of spiculation in computer-aided detection. Radiology 215(3):703\u2013707","journal-title":"Radiology"},{"issue":"12","key":"992_CR45","doi-asserted-by":"crossref","first-page":"1534","DOI":"10.1016\/j.acra.2008.07.015","volume":"15","author":"L Jiang","year":"2008","unstructured":"Jiang L, Song E, Xu X, Ma G, Zheng B (2008) Automated detection of breast mass spiculation levels and evaluation of scheme performance. Acad Radiol 15(12):1534\u20131544. doi: 10.1016\/j.acra.2008.07.015","journal-title":"Acad Radiol"},{"issue":"5","key":"992_CR46","doi-asserted-by":"crossref","first-page":"2110","DOI":"10.1118\/1.2890080","volume":"35","author":"MP Sampat","year":"2008","unstructured":"Sampat MP, Bovik AC, Whitman GJ, Markey MK (2008) A model-based framework for the detection of spiculated masses on mammography. Med Phys 35(5):2110\u20132123","journal-title":"Med Phys"},{"issue":"2","key":"992_CR47","doi-asserted-by":"crossref","first-page":"331","DOI":"10.1148\/radiology.191.2.8153302","volume":"191","author":"WP Kegelmeyer Jr","year":"1994","unstructured":"Kegelmeyer WP Jr, Pruneda JM, Bourland PD, Hillis A, Riggs MW, Nipper ML (1994) Computer-aided mammographic screening for spiculated lesions. Radiology 191(2):331\u2013337","journal-title":"Radiology"},{"issue":"3","key":"992_CR48","doi-asserted-by":"crossref","first-page":"157","DOI":"10.1016\/j.artmed.2013.07.002","volume":"59","author":"M Tan","year":"2013","unstructured":"Tan M, Deklerck R, Cornelis J, Jansen B (2013) Phased searching with NEAT in a time-scaled framework: experiments on a computer-aided detection system for lung nodules. Artif Intell Med 59(3):157\u2013167. doi: 10.1016\/j.artmed.2013.07.002","journal-title":"Artif Intell Med"},{"issue":"10","key":"992_CR49","doi-asserted-by":"crossref","first-page":"5630","DOI":"10.1118\/1.3633941","volume":"38","author":"M Tan","year":"2011","unstructured":"Tan M, Deklerck R, Jansen B, Bister M, Cornelis J (2011) A novel computer-aided lung nodule detection system for CT images. Med Phys 38(10):5630\u20135645","journal-title":"Med Phys"},{"key":"992_CR50","doi-asserted-by":"crossref","unstructured":"Haar Romeny BM (2003) Front-end vision and multi-scale image analysis. Springer, Berlin","DOI":"10.1007\/978-1-4020-8840-7"},{"issue":"8","key":"992_CR51","doi-asserted-by":"crossref","first-page":"2040","DOI":"10.1118\/1.1581411","volume":"30","author":"Q Li","year":"2003","unstructured":"Li Q, Sone S, Doi K (2003) Selective enhancement filters for nodules, vessels, and airway walls in two- and three-dimensional CT scans. Med Phys 30(8):2040\u20132051","journal-title":"Med Phys"},{"key":"992_CR52","first-page":"929","volume":"1268","author":"Q Li","year":"2004","unstructured":"Li Q, Arimura H, Doi K (2004) Selective enhancement filters for lung nodules, intracranial aneurysms, and breast microcalcifications. Proc CARS 1268:929\u2013934","journal-title":"Proc CARS"},{"issue":"10","key":"992_CR53","doi-asserted-by":"crossref","first-page":"1032","DOI":"10.1109\/42.887618","volume":"19","author":"NR Mudigonda","year":"2000","unstructured":"Mudigonda NR, Rangayyan RM, Desautels JE (2000) Gradient and texture analysis for the classification of mammographic masses. IEEE Trans Med Imaging 19(10):1032\u20131043. doi: 10.1109\/42.887618","journal-title":"IEEE Trans Med Imaging"},{"issue":"6","key":"992_CR54","doi-asserted-by":"crossref","first-page":"1598","DOI":"10.1118\/1.1915013","volume":"32","author":"S Gupta","year":"2005","unstructured":"Gupta S, Markey MK (2005) Correspondence in texture features between two mammographic views. Med Phys 32(6):1598\u20131606","journal-title":"Med Phys"},{"issue":"11","key":"992_CR55","doi-asserted-by":"crossref","first-page":"1602","DOI":"10.1109\/83.725367","volume":"7","author":"X Tang","year":"1998","unstructured":"Tang X (1998) Texture information in run-length matrices. IEEE Trans Image Proc 7(11):1602\u20131609","journal-title":"IEEE Trans Image Proc"},{"key":"992_CR56","unstructured":"Wei X (2007) Gray level run length matrix toolbox v1.0. Beijing Aeronautical Technology Research Center, http:\/\/www.mathworkscom\/matlabcentral\/fileexchange\/17482-gray-level-run-length-matrix-toolbox . Accessed 12 Dec 2013"},{"issue":"6","key":"992_CR57","doi-asserted-by":"crossref","first-page":"610","DOI":"10.1109\/TSMC.1973.4309314","volume":"3","author":"RM Haralick","year":"1973","unstructured":"Haralick RM, Shanmugam K, Dinstein I (1973) Texture features for image classification. IEEE Trans Syst Man Cybern 3(6):610\u2013621","journal-title":"IEEE Trans Syst Man Cybern"},{"issue":"4","key":"992_CR58","doi-asserted-by":"crossref","first-page":"289","DOI":"10.1109\/42.921478","volume":"20","author":"H Li","year":"2001","unstructured":"Li H, Wang Y, Liu KJ, Lo SC, Freedman MT (2001) Computerized radiographic mass detection-part I: Lesion site selection by morphological enhancement and contextual segmentation. IEEE Trans Med Imaging 20(4):289\u2013301","journal-title":"IEEE Trans Med Imaging"},{"issue":"8","key":"992_CR59","doi-asserted-by":"crossref","first-page":"1642","DOI":"10.1118\/1.598658","volume":"26","author":"N Petrick","year":"1999","unstructured":"Petrick N, Chan HP, Sahiner B, Helvie MA (1999) Combined adaptive enhancement and region-growing segmentation of breast masses on digitized mammograms. Med Phys 26(8):1642\u20131654","journal-title":"Med Phys"},{"issue":"8","key":"992_CR60","doi-asserted-by":"crossref","first-page":"899","DOI":"10.1016\/S1076-6332(03)80459-2","volume":"9","author":"Y-H Chang","year":"2002","unstructured":"Chang Y-H, Wang X-H, Hardesty LA, Chang TS, Poller WR, Good WF, Gur D (2002) Computerized assessment of tissue composition on digitized mammograms. Acad Radiol 9(8):899\u2013905","journal-title":"Acad Radiol"},{"issue":"20650667","key":"992_CR61","doi-asserted-by":"crossref","first-page":"1401","DOI":"10.1016\/j.acra.2010.06.009","volume":"17","author":"B Zheng","year":"2010","unstructured":"Zheng B, Wang X, Lederman D, Tan J, Gur D (2010) Computer-aided detection; the effect of training databases on detection of subtle breast masses. Acad Radiol 17(20650667):1401\u20131408","journal-title":"Acad Radiol"},{"key":"992_CR62","doi-asserted-by":"crossref","DOI":"10.1002\/9780470182963","volume-title":"Approximate dynamic programming: solving the curses of dimensionality","author":"WB Powell","year":"2007","unstructured":"Powell WB (2007) Approximate dynamic programming: solving the curses of dimensionality, 1st edn. Wiley-Interscience, New York","edition":"1"},{"key":"992_CR63","doi-asserted-by":"crossref","unstructured":"Langley P (1994) Selection of relevant features in machine learning. In: AAAI fall symposium on relevance. AAAI Press, New Orleans, pp 140\u2013144","DOI":"10.21236\/ADA292575"},{"issue":"1\u20132","key":"992_CR64","doi-asserted-by":"crossref","first-page":"273","DOI":"10.1016\/S0004-3702(97)00043-X","volume":"97","author":"R Kohavi","year":"1997","unstructured":"Kohavi R, John GH (1997) Wrappers for feature subset selection. Artif Intell 97(1\u20132):273\u2013324","journal-title":"Artif Intell"},{"issue":"11","key":"992_CR65","doi-asserted-by":"crossref","first-page":"1119","DOI":"10.1016\/0167-8655(94)90127-9","volume":"15","author":"P Pudil","year":"1994","unstructured":"Pudil P, Novovi\u010dov\u00e1 J, Kittler J (1994) Floating search methods in feature selection. Pattern Recognit Lett 15(11):1119\u20131125","journal-title":"Pattern Recognit Lett"},{"issue":"3","key":"992_CR66","doi-asserted-by":"crossref","first-page":"503","DOI":"10.1093\/biomet\/76.3.503","volume":"76","author":"P Burman","year":"1989","unstructured":"Burman P (1989) A comparative study of ordinary cross-validation, v-fold cross-validation and the repeated learning-testing methods. Biometrika 76(3):503\u2013514. doi: 10.2307\/2336116","journal-title":"Biometrika"},{"issue":"10","key":"992_CR67","doi-asserted-by":"crossref","first-page":"1569","DOI":"10.1118\/1.597626","volume":"22","author":"Z Huo","year":"1995","unstructured":"Huo Z, Giger ML, Vyborny CJ, Bick U, Lu P, Wolverton DE, Schmidt RA (1995) Analysis of spiculation in the computerized classification of mammographic masses. Med Phys 22(10):1569\u20131579","journal-title":"Med Phys"},{"issue":"2","key":"992_CR68","doi-asserted-by":"crossref","first-page":"145","DOI":"10.1016\/j.artmed.2006.03.002","volume":"37","author":"ME Mavroforakis","year":"2006","unstructured":"Mavroforakis ME, Georgiou HV, Dimitropoulos N, Cavouras D, Theodoridis S (2006) Mammographic masses characterization based on localized texture and dataset fractal analysis using linear, neural and support vector machine classifiers. Artif Intell Med 37(2):145\u2013162. doi: 10.1016\/j.artmed.2006.03.002","journal-title":"Artif Intell Med"},{"issue":"6","key":"992_CR69","doi-asserted-by":"crossref","first-page":"1810","DOI":"10.1118\/1.2188080","volume":"33","author":"S Gupta","year":"2006","unstructured":"Gupta S, Chyn PF, Markey MK (2006) Breast cancer CADx based on BI-RADS descriptors from two mammographic views. Med Phys 33(6):1810\u20131817","journal-title":"Med Phys"},{"issue":"5","key":"992_CR70","doi-asserted-by":"crossref","first-page":"1288","DOI":"10.1118\/1.1708643","volume":"31","author":"WK Lim","year":"2004","unstructured":"Lim WK, Er MJ (2004) Classification of mammographic masses using generalized dynamic fuzzy neural networks. Med Phys 31(5):1288\u20131295","journal-title":"Med Phys"},{"issue":"3","key":"992_CR71","first-page":"27","volume":"2","author":"C-C Chang","year":"2011","unstructured":"Chang C-C, Lin C-J (2011) LIBSVM: a library for support vector machines. ACM TIST 2(3):27","journal-title":"ACM TIST"},{"key":"992_CR72","volume-title":"A practical guide to support vector classification. Technical report","author":"C-W Hsu","year":"2009","unstructured":"Hsu C-W, Chang C-C, Lin C-J (2009) A practical guide to support vector classification. Technical report. National Taiwan University, Taipei"},{"key":"992_CR73","volume-title":"Pattern recognition","author":"S Theodoridis","year":"2008","unstructured":"Theodoridis S, Koutroumbas K (2008) Pattern recognition, 4th edn. Academic Press, San Diego","edition":"4"},{"key":"992_CR74","volume-title":"Introduction to pattern recognition: a MATLAB approach","author":"S Theodoridis","year":"2010","unstructured":"Theodoridis S, Koutroumbas K (2010) Introduction to pattern recognition: a MATLAB approach. Academic Press, New York"},{"issue":"5","key":"992_CR75","doi-asserted-by":"crossref","first-page":"487","DOI":"10.1007\/BF02345742","volume":"38","author":"RM Rangayyan","year":"2000","unstructured":"Rangayyan RM, Mudigonda NR, Desautels JE (2000) Boundary modelling and shape analysis methods for classification of mammographic masses. Med Biol Eng Comput 38(5):487\u2013496","journal-title":"Med Biol Eng Comput"},{"key":"992_CR76","doi-asserted-by":"crossref","first-page":"111","DOI":"10.1111\/j.2517-6161.1974.tb00994.x","volume":"36","author":"M Stone","year":"1974","unstructured":"Stone M (1974) Cross-validatory choice and assessment of statistical predictions. J R Stat Soc B 36:111\u2013147","journal-title":"J R Stat Soc B"},{"key":"992_CR77","doi-asserted-by":"crossref","first-page":"880","DOI":"10.1117\/12.535864","volume":"5370","author":"JWH Land","year":"2004","unstructured":"Land JWH, McKee DW, Anderson FR, Lo JY (2004) Breast cancer classification improvements using a new kernel function with evolutionary-programming-configured support vector machines. Proc SPIE 5370:880\u2013887","journal-title":"Proc SPIE"},{"key":"992_CR78","doi-asserted-by":"crossref","unstructured":"Heidt S-R, Elter M, Wittenberg T, Paulus D (2009) Model-based characterization of mammographic masses. In: Meinzer H-P, Deserno T, Handels H, Tolxdorff T (eds) Bildverarbeitung f\u00fcr die Medizin 2009. Informatik aktuell. Springer, Berlin, pp 287\u2013291. doi: 10.1007\/978-3-540-93860-6_58 .","DOI":"10.1007\/978-3-540-93860-6_58"},{"key":"992_CR79","doi-asserted-by":"crossref","unstructured":"Eltonsy NH, Elmaghraby AS, Tourassi GD (2007) Bilateral breast volume asymmetry in screening mammograms as a potential marker of breast cancer: preliminary experience. In: Proceedings of the ICIP 2007, Sept 16 2007\u2013Oct 19 2007, pp V-5\u2013V-8","DOI":"10.1109\/ICIP.2007.4379751"}],"container-title":["International Journal of Computer Assisted Radiology and Surgery"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11548-014-0992-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11548-014-0992-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11548-014-0992-1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,5,25]],"date-time":"2024-05-25T08:37:36Z","timestamp":1716626256000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11548-014-0992-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,3,25]]},"references-count":79,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2014,11]]}},"alternative-id":["992"],"URL":"https:\/\/doi.org\/10.1007\/s11548-014-0992-1","relation":{},"ISSN":["1861-6410","1861-6429"],"issn-type":[{"value":"1861-6410","type":"print"},{"value":"1861-6429","type":"electronic"}],"subject":[],"published":{"date-parts":[[2014,3,25]]}}}