{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,2]],"date-time":"2026-11-02T19:02:40Z","timestamp":1793646160206,"version":"4.5.1"},"reference-count":74,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2017,1,9]],"date-time":"2017-01-09T00:00:00Z","timestamp":1483920000000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61372007,61571193"],"award-info":[{"award-number":["61372007,61571193"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Guangdong Provincial Science and Technology Program - International Collaborative Projects","award":["2014A050503020"],"award-info":[{"award-number":["2014A050503020"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int J CARS"],"published-print":{"date-parts":[[2017,3]]},"DOI":"10.1007\/s11548-016-1513-1","type":"journal-article","created":{"date-parts":[[2017,1,9]],"date-time":"2017-01-09T08:16:02Z","timestamp":1483949762000},"page":"493-507","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":195,"title":["Breast ultrasound image segmentation: a survey"],"prefix":"10.1007","volume":"12","author":[{"given":"Qinghua","family":"Huang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yaozhong","family":"Luo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qiangzhi","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2017,1,9]]},"reference":[{"issue":"12","key":"1513_CR1","doi-asserted-by":"crossref","first-page":"2967","DOI":"10.1016\/S0031-3203(03)00192-4","volume":"36","author":"HD Cheng","year":"2003","unstructured":"Cheng HD, Cai X, Chen X, Hu L, Lou X (2003) Computer-aided detection and classification of microcalcifications in mammograms: a survey. Pattern Recognit 36(12):2967\u20132991","journal-title":"Pattern Recognit"},{"issue":"3","key":"1513_CR2","doi-asserted-by":"crossref","first-page":"395","DOI":"10.1016\/S0033-8389(01)00015-X","volume":"40","author":"CH Lee","year":"2002","unstructured":"Lee CH (2002) Screening mammography: proven benefit, continued controversy. Radiol Clin N Am 40(3):395\u2013407","journal-title":"Radiol Clin N Am"},{"issue":"4","key":"1513_CR3","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","journal-title":"Pattern Recognit"},{"issue":"2","key":"1513_CR4","doi-asserted-by":"crossref","first-page":"390","DOI":"10.1148\/radiol.2442060712","volume":"244","author":"JL Jesneck","year":"2007","unstructured":"Jesneck JL, Lo JY, Baker JA (2007) Breast mass lesions: computer-aided diagnosis models with mammographic and sonographic descriptors. Radiology 244(2):390\u2013398","journal-title":"Radiology"},{"issue":"3","key":"1513_CR5","doi-asserted-by":"crossref","first-page":"613","DOI":"10.1148\/radiology.184.3.1509041","volume":"184","author":"RE Bird","year":"1992","unstructured":"Bird RE, Wallace TW, Yankaskas BC (1992) Analysis of cancers missed at screening mammography. Radiology 184(3):613\u2013617","journal-title":"Radiology"},{"issue":"11","key":"1513_CR6","doi-asserted-by":"crossref","first-page":"855","DOI":"10.7326\/0003-4819-133-11-200012050-00009","volume":"133","author":"K Kerlikowske","year":"2000","unstructured":"Kerlikowske K, Carney PA, Geller B, Mandelson MT, Taplin SH, Malvin K, Ballard-Barbash R (2000) Performance of screening mammography among women with and without a first-degree relative with breast cancer. Ann Intern Med 133(11):855\u2013863","journal-title":"Ann Intern Med"},{"issue":"1","key":"1513_CR7","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/S1076-6332(03)80289-1","volume":"9","author":"ML Giger","year":"2002","unstructured":"Giger ML (2002) Computer-aided diagnosis in radiology. Acad Radiol 9(1):1\u20133","journal-title":"Acad Radiol"},{"issue":"3","key":"1513_CR8","doi-asserted-by":"crossref","first-page":"716","DOI":"10.1148\/radiol.2423051464","volume":"242","author":"B Sahiner","year":"2007","unstructured":"Sahiner B, Chan HP, Roubidoux MA, Hadjiiski LM, Helvie MA, Paramagul C, Blane C (2007) Malignant and benign breast masses on 3D US volumetric images: effect of computer-aided diagnosis on radiologist accuracy 1. Radiology 242(3):716\u2013724","journal-title":"Radiology"},{"issue":"2","key":"1513_CR9","doi-asserted-by":"crossref","first-page":"504","DOI":"10.1148\/radiol.2262011843","volume":"226","author":"CM Chen","year":"2003","unstructured":"Chen CM, Chou YH, Han KC, Hung GS, Tiu CM, Chiou HJ, Chiou SY (2003) Breast lesions on sonograms: computer-aided diagnosis with nearly setting-independent features and artificial neural networks 1. Radiology 226(2):504\u2013514","journal-title":"Radiology"},{"issue":"7","key":"1513_CR10","doi-asserted-by":"crossref","first-page":"1438","DOI":"10.1118\/1.1485995","volume":"29","author":"K Drukker","year":"2002","unstructured":"Drukker K, Giger ML, Horsch K, Kupinski MA, Vyborny CJ, Mendelson EB (2002) Computerized lesion detection on breast ultrasound. Med Phys 29(7):1438\u20131446","journal-title":"Med Phys"},{"issue":"5","key":"1513_CR11","doi-asserted-by":"crossref","first-page":"649","DOI":"10.7863\/jum.2006.25.5.649","volume":"25","author":"M Costantini","year":"2006","unstructured":"Costantini M, Belli P, Lombardi R, Franceschini G, Mul\u00e8 A, Bonomo L (2006) Characterization of solid breast masses use of the sonographic breast imaging reporting and data system lexicon. J Ultrasound Med 25(5):649\u2013659","journal-title":"J Ultrasound Med"},{"issue":"s1","key":"1513_CR12","doi-asserted-by":"crossref","first-page":"S3","DOI":"10.1111\/j.1075-122X.2006.00199.x","volume":"12","author":"BO Anderson","year":"2006","unstructured":"Anderson BO, Shyyan R, Eniu A, Smith RA, Yip CH, Bese NS, Carlson RW (2006) Breast cancer in limited-resource countries: an overview of the breast health global initiative 2005 guidelines. Breast J 12(s1):S3\u2013S15","journal-title":"Breast J"},{"issue":"10","key":"1513_CR13","doi-asserted-by":"crossref","first-page":"2241","DOI":"10.1088\/0031-9155\/50\/10\/004","volume":"50","author":"PM Shankar","year":"2005","unstructured":"Shankar PM, Piccoli CW, Reid JM, Forsberg F, Goldberg BB (2005) Application of the compound probability density function for characterization of breast masses in ultrasound B scans. Phys Med Biol 50(10):2241\u20132248","journal-title":"Phys Med Biol"},{"issue":"1","key":"1513_CR14","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1016\/S0301-5629(01)00491-4","volume":"28","author":"KJ Taylor","year":"2002","unstructured":"Taylor KJ, Merritt C, Piccoli C, Schmidt R, Rouse G, Fornage B, Mendelson E (2002) Ultrasound as a complement to mammography and breast examination to characterize breast masses. Ultrasound Med Biol 28(1):19\u201326","journal-title":"Ultrasound Med Biol"},{"issue":"6","key":"1513_CR15","doi-asserted-by":"crossref","first-page":"807","DOI":"10.7863\/jum.2007.26.6.807","volume":"26","author":"H Zhi","year":"2007","unstructured":"Zhi H, Ou B, Luo BM, Feng X, Wen YL, Yang HY (2007) Comparison of ultrasound elastography, mammography, and sonography in the diagnosis of solid breast lesions. J Ultrasound Med 26(6):807\u2013815","journal-title":"J Ultrasound Med"},{"issue":"6","key":"1513_CR16","doi-asserted-by":"crossref","first-page":"895","DOI":"10.1007\/s11548-013-0829-3","volume":"8","author":"K Drukker","year":"2013","unstructured":"Drukker K, Giger M, Meinel LA, Starkey A, Janardanan J, Abe H (2013) Quantitative ultrasound image analysis of axillary lymph node status in breast cancer patients. Int J Comput Assist Radiol Surg 8(6):895\u2013903","journal-title":"Int J Comput Assist Radiol Surg"},{"issue":"5","key":"1513_CR17","doi-asserted-by":"crossref","first-page":"679","DOI":"10.1016\/S0301-5629(02)00788-3","volume":"29","author":"RF Chang","year":"2003","unstructured":"Chang RF, Wu WJ, Moon WK, Chen DR (2003) Improvement in breast tumor discrimination by support vector machines and speckle-emphasis texture analysis. Ultrasound Med Biol 29(5):679\u2013686","journal-title":"Ultrasound Med Biol"},{"key":"1513_CR18","doi-asserted-by":"crossref","unstructured":"Andr\u00e9 MP, Galperin M, Olson LK, Richman K, Payrovi S, Phan P (2002) Improving the accuracy of diagnostic breast ultrasound. In: Maev RG (ed) Acoustical imaging. Springer, US, pp 453\u2013460","DOI":"10.1007\/978-1-4419-8606-1_57"},{"key":"1513_CR19","doi-asserted-by":"crossref","unstructured":"Huang YL, Chen DR, Liu YK (2004, October) Breast cancer diagnosis using image retrieval for different ultrasonic systems. In: 2004 International conference on image processing, 2004. ICIP\u201904, vol 5. IEEE, pp 2957\u20132960","DOI":"10.1109\/ICIP.2004.1421733"},{"issue":"3","key":"1513_CR20","doi-asserted-by":"crossref","first-page":"299","DOI":"10.1007\/s11548-009-0295-0","volume":"4","author":"Y Ikedo","year":"2009","unstructured":"Ikedo Y, Morita T, Fukuoka D, Hara T, Lee G, Fujita H, Endo T (2009) Automated analysis of breast parenchymal patterns in whole breast ultrasound images: preliminary experience. Int J Comput Assist Radiol Surg 4(3):299\u2013306","journal-title":"Int J Comput Assist Radiol Surg"},{"issue":"Suppl. 1","key":"1513_CR21","first-page":"S344","volume":"2","author":"H Yu-Len","year":"2007","unstructured":"Yu-Len H, Yu-Ru J, Jia-Jia S, Dar-Ren C, Kyung MW (2007) Computer-aided diagnosis with morphological features for breast lesion on sonograms. Int J Comput Assist Radiol Surg 2(Suppl. 1):S344\u2013S346","journal-title":"Int J Comput Assist Radiol Surg"},{"issue":"8","key":"1513_CR22","doi-asserted-by":"crossref","first-page":"987","DOI":"10.1109\/TMI.2006.877092","volume":"25","author":"JA Noble","year":"2006","unstructured":"Noble JA, Boukerroui D (2006) Ultrasound image segmentation: a survey. IEEE Trans Med Imaging 25(8):987\u20131010","journal-title":"IEEE Trans Med Imaging"},{"issue":"5","key":"1513_CR23","doi-asserted-by":"crossref","first-page":"225","DOI":"10.1016\/0041-624X(81)90007-X","volume":"19","author":"PNT Wells","year":"1981","unstructured":"Wells PNT, Halliwell M (1981) Speckle in ultrasonic imaging. Ultrasonics 19(5):225\u2013229","journal-title":"Ultrasonics"},{"issue":"1","key":"1513_CR24","doi-asserted-by":"crossref","first-page":"48","DOI":"10.1109\/42.981233","volume":"21","author":"G Xiao","year":"2002","unstructured":"Xiao G, Brady M, Noble JA, Zhang Y (2002) Segmentation of ultrasound B-mode images with intensity inhomogeneity correction. IEEE Trans Med Imaging 21(1):48\u201357","journal-title":"IEEE Trans Med Imaging"},{"issue":"1","key":"1513_CR25","doi-asserted-by":"crossref","first-page":"299","DOI":"10.1016\/j.patcog.2009.05.012","volume":"43","author":"HD Cheng","year":"2010","unstructured":"Cheng HD, Shan J, Ju W, Guo Y, Zhang L (2010) Automated breast cancer detection and classification using ultrasound images: a survey. Pattern Recognit 43(1):299\u2013317","journal-title":"Pattern Recognit"},{"issue":"3","key":"1513_CR26","doi-asserted-by":"crossref","first-page":"420","DOI":"10.1016\/j.clinimag.2012.09.024","volume":"37","author":"A Jalalian","year":"2013","unstructured":"Jalalian A, Mashohor SB, Mahmud HR, Saripan MIB, Ramli ARB, Karasfi B (2013) Computer-aided detection\/diagnosis of breast cancer in mammography and ultrasound: a review. Clin Imaging 37(3):420\u2013426","journal-title":"Clin Imaging"},{"issue":"8","key":"1513_CR27","doi-asserted-by":"crossref","first-page":"1652","DOI":"10.1118\/1.1386426","volume":"28","author":"K Horsch","year":"2001","unstructured":"Horsch K, Giger ML, Venta LA, Vyborny CJ (2001) Automatic segmentation of breast lesions on ultrasound. Med Phys 28(8):1652\u20131659","journal-title":"Med Phys"},{"issue":"2","key":"1513_CR28","doi-asserted-by":"crossref","first-page":"157","DOI":"10.1118\/1.1429239","volume":"29","author":"K Horsch","year":"2002","unstructured":"Horsch K, Giger ML, Venta LA, Vyborny CJ (2002) Computerized diagnosis of breast lesions on ultrasound. Med Phys 29(2):157\u2013164","journal-title":"Med Phys"},{"issue":"2","key":"1513_CR29","doi-asserted-by":"crossref","first-page":"485","DOI":"10.1016\/j.patcog.2014.07.026","volume":"48","author":"M Xian","year":"2015","unstructured":"Xian M, Zhang Y, Cheng HD (2015) Fully automatic segmentation of breast ultrasound images based on breast characteristics in space and frequency domains. Pattern Recognit 48(2):485\u2013497","journal-title":"Pattern Recognit"},{"issue":"3","key":"1513_CR30","doi-asserted-by":"crossref","first-page":"272","DOI":"10.1016\/S1076-6332(03)00719-0","volume":"11","author":"K Horsch","year":"2004","unstructured":"Horsch K, Giger ML, Vyborny CJ, Venta LA (2004) Performance of computer-aided diagnosis in the interpretation of lesions on breast sonography. Acad Radiol 11(3):272\u2013280","journal-title":"Acad Radiol"},{"key":"1513_CR31","doi-asserted-by":"crossref","unstructured":"Yap MH, Edirisinghe EA, Bez HE (2007, March) Fully automatic lesion boundary detection in ultrasound breast images. In: Pluim JPW, Reinhardt JM (eds) International Society for Optics and Photonics. Medical Imaging, San Diego, CA, pp 65123I-1\u201365123I-8","DOI":"10.1117\/12.708625"},{"issue":"4","key":"1513_CR32","doi-asserted-by":"crossref","first-page":"369","DOI":"10.1007\/s10044-011-0225-y","volume":"14","author":"PS Rodrigues","year":"2011","unstructured":"Rodrigues PS, Giraldi GA (2011) Improving the non-extensive medical image segmentation based on Tsallis entropy. Pattern Anal Appl 14(4):369\u2013379","journal-title":"Pattern Anal Appl"},{"issue":"10","key":"1513_CR33","doi-asserted-by":"crossref","first-page":"34","DOI":"10.5815\/ijigsp.2012.10.05","volume":"4","author":"A Mustaqeem","year":"2012","unstructured":"Mustaqeem A, Javed A, Fatima T (2012) An efficient brain tumor detection algorithm using watershed & thresholding based segmentation. Int J Image Graph Signal Process 4(10):34","journal-title":"Int J Image Graph Signal Process"},{"key":"1513_CR34","doi-asserted-by":"crossref","unstructured":"Filipczuk P, Kowal M, Obuchowicz A (2011) Fuzzy clustering and adaptive thresholding based segmentation method for breast cancer diagnosis. In: Burduk R, Kurzy\u0144ski M, Wo\u017aniak M, \u017bo\u0142nierek A (eds) Computer recognition systems, vol 4. Springer, Berlin, pp 613\u2013622","DOI":"10.1007\/978-3-642-20320-6_64"},{"issue":"3","key":"1513_CR35","first-page":"1","volume":"5","author":"NM Altarawneh","year":"2014","unstructured":"Altarawneh NM, Luo S, Regan B, Sun C, Jia F (2014) Global threshold and region-based active contour model for accurate image segmentation. Signal Image Process 5(3):1","journal-title":"Signal Image Process"},{"issue":"1","key":"1513_CR36","doi-asserted-by":"crossref","first-page":"139","DOI":"10.1016\/j.sigpro.2012.07.010","volume":"93","author":"A Dirami","year":"2013","unstructured":"Dirami A, Hammouche K, Diaf M, Siarry P (2013) Fast multilevel thresholding for image segmentation through a multiphase level set method. Signal Process 93(1):139\u2013153","journal-title":"Signal Process"},{"issue":"11","key":"1513_CR37","doi-asserted-by":"crossref","first-page":"1","DOI":"10.5815\/ijigsp.2013.11.01","volume":"5","author":"HB Kekre","year":"2013","unstructured":"Kekre HB, Shrinath P (2013) Tumour delineation using statistical properties of the breast US images and vector quantization based clustering algorithms. Int J Image Graph Signal Process 5(11):1\u201312","journal-title":"Int J Image Graph Signal Process"},{"issue":"4","key":"1513_CR38","doi-asserted-by":"crossref","first-page":"042901","DOI":"10.1118\/1.4869264","volume":"41","author":"WK Moon","year":"2014","unstructured":"Moon WK, Lo CM, Chen RT, Shen YW, Chang JM, Huang CS, Chang RF (2014) Tumor detection in automated breast ultrasound images using quantitative tissue clustering. Med Phys 41(4):042901","journal-title":"Med Phys"},{"issue":"9","key":"1513_CR39","doi-asserted-by":"crossref","first-page":"5669","DOI":"10.1118\/1.4747271","volume":"39","author":"J Shan","year":"2012","unstructured":"Shan J, Cheng HD, Wang Y (2012) A novel segmentation method for breast ultrasound images based on neutrosophic l-means clustering. Med Phys 39(9):5669\u20135682","journal-title":"Med Phys"},{"issue":"5","key":"1513_CR40","doi-asserted-by":"crossref","first-page":"625","DOI":"10.1016\/j.ultrasmedbio.2003.12.001","volume":"30","author":"YL Huang","year":"2004","unstructured":"Huang YL, Chen DR (2004) Watershed segmentation for breast tumor in 2-D sonography. Ultrasound Med Biol 30(5):625\u2013632","journal-title":"Ultrasound Med Biol"},{"key":"1513_CR41","unstructured":"Huang YL, Chen DR (2006) Automatic contouring for breast tumors in 2-D sonography. In: 2005 27th annual conference IEEE engineering in medicine and biology. IEEE, pp 3225\u20133228"},{"key":"1513_CR42","doi-asserted-by":"crossref","unstructured":"Gomez W, Leija L, Pereira WCA, Infantosi AFC (2009, March) Morphological operators on the segmentation of breast ultrasound images. In: 2009 Pan American Health Care Exchanges. IEEE, pp 67\u201371","DOI":"10.1109\/PAHCE.2009.5158367"},{"issue":"1","key":"1513_CR43","doi-asserted-by":"crossref","first-page":"82","DOI":"10.1118\/1.3265959","volume":"37","author":"W Gomez","year":"2010","unstructured":"Gomez W, Leija L, Alvarenga AV, Infantosi AFC, Pereira WCA (2010) Computerized lesion segmentation of breast ultrasound based on marker-controlled watershed transformation. Med Phys 37(1):82\u201395","journal-title":"Med Phys"},{"key":"1513_CR44","doi-asserted-by":"crossref","unstructured":"Zhang L, Zhang M (2011) A fully automatic image segmentation using an extended fuzzy set. In: Yu Y, Yu Z, Zhao J (eds) Computer science for environmental engineering and ecoinformatics. Springer, Berlin, pp 412\u2013417","DOI":"10.1007\/978-3-642-22691-5_72"},{"issue":"7","key":"1513_CR45","doi-asserted-by":"crossref","first-page":"1503","DOI":"10.1109\/TMI.2014.2315206","volume":"33","author":"CM Lo","year":"2014","unstructured":"Lo CM, Chen RT, Chang YC, Yang YW, Hung MJ, Huang CS, Chang RF (2014) Multi-dimensional tumor detection in automated whole breast ultrasound using topographic watershed. IEEE Trans Med Imaging 33(7):1503\u20131511","journal-title":"IEEE Trans Med Imaging"},{"key":"1513_CR46","first-page":"1","volume":"016173461452473","author":"Z Zhou","year":"2014","unstructured":"Zhou Z, Wu W, Wu S, Tsui PH, Lin CC, Zhang L, Wang T (2014) Semi-automatic breast ultrasound image segmentation based on mean shift and graph cuts. Ultrason Imaging 0161734614524735:1\u201321","journal-title":"Ultrason Imaging"},{"issue":"2","key":"1513_CR47","doi-asserted-by":"crossref","first-page":"266","DOI":"10.1016\/j.ultras.2011.08.011","volume":"52","author":"QH Huang","year":"2012","unstructured":"Huang QH, Lee SY, Liu LZ, Lu MH, Jin LW, Li AH (2012) A robust graph-based segmentation method for breast tumors in ultrasound images. Ultrasonics 52(2):266\u2013275","journal-title":"Ultrasonics"},{"key":"1513_CR48","doi-asserted-by":"crossref","first-page":"216","DOI":"10.1016\/j.neucom.2013.09.038","volume":"129","author":"Q Huang","year":"2014","unstructured":"Huang Q, Bai X, Li Y, Jin L, Li X (2014) Optimized graph-based segmentation for ultrasound images. Neurocomputing 129:216\u2013224","journal-title":"Neurocomputing"},{"key":"1513_CR49","doi-asserted-by":"crossref","first-page":"632","DOI":"10.1016\/j.neucom.2014.05.092","volume":"151","author":"H Chang","year":"2015","unstructured":"Chang H, Chen Z, Huang Q, Shi J, Li X (2015) Graph-based learning for segmentation of 3D ultrasound images. Neurocomputing 151:632\u2013644","journal-title":"Neurocomputing"},{"key":"1513_CR50","doi-asserted-by":"crossref","first-page":"293","DOI":"10.1016\/j.ins.2014.08.021","volume":"314","author":"Q Huang","year":"2015","unstructured":"Huang Q, Yang F, Liu L, Li X (2015) Automatic segmentation of breast lesions for interaction in ultrasonic computer-aided diagnosis. Inf Sci 314:293\u2013310","journal-title":"Inf Sci"},{"key":"1513_CR51","doi-asserted-by":"crossref","first-page":"663","DOI":"10.1016\/j.procs.2015.04.100","volume":"50","author":"MM Eapena","year":"2015","unstructured":"Eapena MM, Ancelita MSJA, Geetha G (2015) Segmentation of tumors from ultrasound images with PAORGB. Procedia Comput Sci 50:663\u2013668","journal-title":"Procedia Comput Sci"},{"issue":"2","key":"1513_CR52","doi-asserted-by":"crossref","first-page":"167","DOI":"10.1023\/B:VISI.0000022288.19776.77","volume":"59","author":"PF Felzenszwalb","year":"2004","unstructured":"Felzenszwalb PF, Huttenlocher DP (2004) Efficient graph-based image segmentation. Int J Comput Vis 59(2):167\u2013181","journal-title":"Int J Comput Vis"},{"issue":"3","key":"1513_CR53","doi-asserted-by":"crossref","first-page":"238","DOI":"10.1007\/s10278-006-1041-6","volume":"20","author":"YL Huang","year":"2007","unstructured":"Huang YL, Jiang YR, Chen DR, Moon WK (2007) Level set contouring for breast tumor in sonography. J Digit Imaging 20(3):238\u2013247","journal-title":"J Digit Imaging"},{"issue":"6","key":"1513_CR54","doi-asserted-by":"crossref","first-page":"2028","DOI":"10.1016\/j.patcog.2010.01.002","volume":"43","author":"B Liu","year":"2010","unstructured":"Liu B, Cheng HD, Huang J, Tian J, Tang X, Liu J (2010) Probability density difference-based active contour for ultrasound image segmentation. Pattern Recognit 43(6):2028\u20132042","journal-title":"Pattern Recognit"},{"key":"1513_CR55","first-page":"1","volume":"2012","author":"L Gao","year":"2012","unstructured":"Gao L, Liu X, Chen W (2012) Phase-and GVF-based level set segmentation of ultrasonic breast tumors. J Appl Math 2012:1\u201322","journal-title":"J Appl Math"},{"issue":"8","key":"1513_CR56","doi-asserted-by":"crossref","first-page":"1414","DOI":"10.1016\/j.jvcir.2013.09.009","volume":"24","author":"A Rodtook","year":"2013","unstructured":"Rodtook A, Makhanov SS (2013) Multi-feature gradient vector flow snakes for adaptive segmentation of the ultrasound images of breast cancer. J Vis Commun Image Represent 24(8):1414\u20131430","journal-title":"J Vis Commun Image Represent"},{"issue":"1","key":"1513_CR57","doi-asserted-by":"crossref","first-page":"129","DOI":"10.1016\/j.medengphy.2013.05.013","volume":"36","author":"L Moraru","year":"2014","unstructured":"Moraru L, Moldovanu S, Biswas A (2014) Optimization of breast lesion segmentation in texture feature space approach. Med Eng Phys 36(1):129\u2013135","journal-title":"Med Eng Phys"},{"key":"1513_CR58","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1016\/j.optlaseng.2013.10.003","volume":"54","author":"W Wang","year":"2014","unstructured":"Wang W, Zhu L, Qin J, Chui YP, Li BN, Heng PA (2014) Multiscale geodesic active contours for ultrasound image segmentation using speckle reducing anisotropic diffusion. Opt Lasers Eng 54:105\u2013116","journal-title":"Opt Lasers Eng"},{"issue":"6","key":"1513_CR59","doi-asserted-by":"crossref","first-page":"1737","DOI":"10.1016\/j.ultrasmedbio.2015.01.012","volume":"41","author":"R Rodrigues","year":"2015","unstructured":"Rodrigues R, Braz R, Pereira M, Moutinho J, Pinheiro AM (2015) A two-step segmentation method for breast ultrasound masses based on multi-resolution analysis. Ultrasound Med Biol 41(6):1737\u20131748","journal-title":"Ultrasound Med Biol"},{"issue":"5","key":"1513_CR60","doi-asserted-by":"crossref","first-page":"537","DOI":"10.1007\/s11548-010-0411-1","volume":"5","author":"A Takemura","year":"2010","unstructured":"Takemura A, Shimizu A, Hamamoto K (2010) A cost-sensitive extension of AdaBoost with markov random field priors for automated segmentation of breast tumors in ultrasonic images. Int J Comput Assist Radiol Surg 5(5):537\u2013547","journal-title":"Int J Comput Assist Radiol Surg"},{"key":"1513_CR61","doi-asserted-by":"crossref","unstructured":"Xian M, Huang J, Zhang Y, Tang X (2012, September) Multiple-domain knowledge based MRF model for tumor segmentation in breast ultrasound images. In 2012 19th IEEE international conference on image processing. IEEE, pp 2021\u20132024","DOI":"10.1109\/ICIP.2012.6467286"},{"issue":"9","key":"1513_CR62","doi-asserted-by":"crossref","first-page":"1659","DOI":"10.7863\/ultra.32.9.1659","volume":"32","author":"G Pons","year":"2013","unstructured":"Pons G, Mart\u00ed J, Mart\u00ed R, Ganau S, Vilanova JC, Noble JA (2013) Evaluating lesion segmentation on breast sonography as related to lesion type. J Ultrasound Med 32(9):1659\u20131670","journal-title":"J Ultrasound Med"},{"key":"1513_CR63","doi-asserted-by":"crossref","unstructured":"Huang SF, Chen YC, Moon WK (2008, May) Neural network analysis applied to tumor segmentation on 3D breast ultrasound images. In: 2008 5th IEEE international symposium on biomedical imaging: from nano to macro. IEEE, pp 1303\u20131306","DOI":"10.1109\/ISBI.2008.4541243"},{"key":"1513_CR64","doi-asserted-by":"crossref","unstructured":"Shi J, Xiao Z, Zhou S (2010) Automatic segmentation of breast tumor in ultrasound image with simplified PCNN and improved fuzzy mutual information. In: Visual communications and image processing 2010. International Society for Optics and Photonics, pp 77441P\u201377441P-8","DOI":"10.1117\/12.863028"},{"key":"1513_CR65","doi-asserted-by":"crossref","unstructured":"Jiao J, Wang Y (2011) Automatic boundary detection in breast ultrasound images based on improved pulse coupled neural network and active contour model. In: 2011 5th International conference on bioinformatics and biomedical engineering (iCBBE). IEEE, pp 1\u20134","DOI":"10.1109\/icbbe.2011.5780194"},{"key":"1513_CR66","doi-asserted-by":"crossref","unstructured":"Othman AA, Tizhoosh HR (2011) Segmentation of breast ultrasound images using neural networks. In: Iliadis L, Jayne C (eds) Engineering applications of neural networks. Springer, Berlin, pp 260\u2013269","DOI":"10.1007\/978-3-642-23957-1_30"},{"issue":"2","key":"1513_CR67","doi-asserted-by":"crossref","first-page":"262","DOI":"10.1016\/j.ultrasmedbio.2011.10.022","volume":"38","author":"J Shan","year":"2012","unstructured":"Shan J, Cheng HD, Wang Y (2012) Completely automated segmentation approach for breast ultrasound images using multiple-domain features. Ultrasound Med Biol 38(2):262\u2013275","journal-title":"Ultrasound Med Biol"},{"key":"1513_CR68","doi-asserted-by":"crossref","unstructured":"Marcomini KD, Schiabel H, Carneiro AAO (2013, February) Quantitative evaluation of automatic methods for lesions detection in breast ultrasound images. In: Novak CL, Aylward S (eds) SPIE medical imaging. International Society for Optics and Photonics, Orlando, pp 867027\u2013867027-7","DOI":"10.1117\/12.2008056"},{"key":"1513_CR69","doi-asserted-by":"crossref","first-page":"76","DOI":"10.1016\/j.compbiomed.2013.10.029","volume":"44","author":"N Torbati","year":"2014","unstructured":"Torbati N, Ayatollahi A, Kermani A (2014) An efficient neural network based method for medical image segmentation. Comput Biol Med 44:76\u201387","journal-title":"Comput Biol Med"},{"issue":"7","key":"1513_CR70","doi-asserted-by":"crossref","first-page":"1069","DOI":"10.1016\/S0301-5629(99)00059-9","volume":"25","author":"T Binder","year":"1999","unstructured":"Binder T, S\u00fcssner M, Moertl D, Strohmer T, Baumgartner H, Maurer G, Porenta G (1999) Artificial neural networks and spatial temporal contour linking for automated endocardial contour detection on echocardiograms: a novel approach to determine left ventricular contractile function. Ultrasound Med Biol 25(7):1069\u20131076","journal-title":"Ultrasound Med Biol"},{"key":"1513_CR71","doi-asserted-by":"crossref","unstructured":"Madabhushi A, Yang P, Rosen M, Weinstein S (2006) Distinguishing lesions from posterior acoustic shadowing in breast ultrasound via non-linear dimensionality reduction. In: 28th Annual international conference of the IEEE engineering in medicine and biology society, 2006. EMBS\u201906. IEEE, pp 3070\u20133073","DOI":"10.1109\/IEMBS.2006.260189"},{"issue":"7","key":"1513_CR72","doi-asserted-by":"crossref","first-page":"1833","DOI":"10.1118\/1.1584042","volume":"30","author":"K Drukker","year":"2003","unstructured":"Drukker K, Giger ML, Mendelson EB (2003) Computerized analysis of shadowing on breast ultrasound for improved lesion detection. Med Phys 30(7):1833\u20131842","journal-title":"Med Phys"},{"key":"1513_CR73","unstructured":"Kim H, Kim H, Hong H (2015) Chest wall segmentation in automated 3D breast ultrasound using rib shadow enhancement and multi-plane cumulative probability enhanced map. In: Hadjiiski LM, Tourassi GD (eds) SPIE medical imaging. International Society for Optics and Photonics, Orlando, pp 941423-1\u2013941423-8"},{"key":"1513_CR74","doi-asserted-by":"crossref","unstructured":"Massich J, Lema\u00eetre G, Mart\u00ed J, M\u00e9riaudeau F (2015) Breast ultrasound image segmentation: an optimization approach based on super-pixels and high-level descriptors. In: The international conference on quality control by artificial vision 2015. International Society for Optics and Photonics, pp 95340C\u201395340C-8","DOI":"10.1117\/12.2182843"}],"container-title":["International Journal of Computer Assisted Radiology and Surgery"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11548-016-1513-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11548-016-1513-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11548-016-1513-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,13]],"date-time":"2025-06-13T23:57:05Z","timestamp":1749859025000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11548-016-1513-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,1,9]]},"references-count":74,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2017,3]]}},"alternative-id":["1513"],"URL":"https:\/\/doi.org\/10.1007\/s11548-016-1513-1","relation":{},"ISSN":["1861-6410","1861-6429"],"issn-type":[{"value":"1861-6410","type":"print"},{"value":"1861-6429","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,1,9]]}}}