{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,3]],"date-time":"2025-05-03T04:13:46Z","timestamp":1746245626175,"version":"3.40.4"},"publisher-location":"Cham","reference-count":34,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319071756"},{"type":"electronic","value":"9783319071763"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2014]]},"DOI":"10.1007\/978-3-319-07176-3_12","type":"book-chapter","created":{"date-parts":[[2014,5,22]],"date-time":"2014-05-22T07:35:42Z","timestamp":1400744142000},"page":"131-142","source":"Crossref","is-referenced-by-count":7,"title":["Computer-Aided System for Automatic Classification of Suspicious Lesions in Breast Ultrasound Images"],"prefix":"10.1007","author":[{"given":"Behnam","family":"Karimi","sequence":"first","affiliation":[]},{"given":"Adam","family":"Krzy\u017cak","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"12_CR1","doi-asserted-by":"crossref","unstructured":"Yap, M.H.: A novel algorithm for initial lesion detection in ultrasound breast images. Journal of Applied Clinical Medical Physics 9(4) (2008)","DOI":"10.1120\/jacmp.v9i4.2741"},{"key":"12_CR2","doi-asserted-by":"crossref","unstructured":"Ikedo, Y., Fukuoka, D., Hara, J., Fujita, H., Takada, E., Endo, T., Morita, T.: Computerized mass detection in whole breast ultrasound images: Reduction of false positives using bilateral subtraction technique. In: Medical Imaging. Proc. of SPIE, vol.\u00a06514, pp. 1\u201310 (2007)","DOI":"10.1117\/12.709225"},{"key":"12_CR3","doi-asserted-by":"publisher","first-page":"4378","DOI":"10.1118\/1.2795825","volume":"34","author":"Y. Ikedo","year":"2007","unstructured":"Ikedo, Y., Fukuoka, D., Hara, T., Fujita, H., Takada, E., Endo, T., Morita, T.: Development of a fully automatic scheme for detection of masses in whole breast ultrasound images. Medical Physics\u00a034, 4378\u20134388 (2007)","journal-title":"Medical Physics"},{"key":"12_CR4","doi-asserted-by":"crossref","unstructured":"Moon, W.K., Lo, C., Chang, J., Huang, C., Chen, J., Chang, R.: Computer-aided classification of breast masses using speckle features of automated breast ultrasound images. Medical Physics. 39 (2012)","DOI":"10.1118\/1.4754801"},{"key":"12_CR5","doi-asserted-by":"publisher","first-page":"189","DOI":"10.1007\/BF02345953","volume":"43","author":"S. Gupta","year":"2005","unstructured":"Gupta, S., Chauhan, R., Sexena, S.: Robust non-homomorphic approach for speckle reduction in medical ultrasound images. Medical and Biological Engineering and Computing\u00a043, 189\u2013195 (2005)","journal-title":"Medical and Biological Engineering and Computing"},{"key":"12_CR6","unstructured":"Benes, R., Riha, K.: Noise Reduction in Medical Ultrasound Images. Elektrorevue 2(3) (2011)"},{"issue":"2","key":"12_CR7","first-page":"491","volume":"2","author":"S. Roy","year":"2010","unstructured":"Roy, S., Sinha, N., Sen, A.: A New Hybrid Image Denoising Method. International Journal of Information Technology and Knowledge Management\u00a02(2), 491\u2013497 (2010)","journal-title":"International Journal of Information Technology and Knowledge Management"},{"key":"12_CR8","first-page":"50","volume":"11","author":"M.C. Nicolae","year":"2009","unstructured":"Nicolae, M.C., Moraru, L., Gogu, A.: Speckle noise reduction of ultrasound images. Medical Ultrasonography an International Journal of Clinical Imaging\u00a011, 50\u201351 (2009)","journal-title":"Medical Ultrasonography an International Journal of Clinical Imaging"},{"key":"12_CR9","first-page":"1397","volume":"2","author":"S. Joo","year":"2004","unstructured":"Joo, S., Moon, W.K., Kim, H.C.: Computer-aided diagnosis of solid breast nodules on ultrasound with digital image processing and artificial neural network. Medicine and Biology Society\u00a02, 1397\u20131400 (2004)","journal-title":"Medicine and Biology Society"},{"issue":"5","key":"12_CR10","doi-asserted-by":"publisher","first-page":"596","DOI":"10.1016\/j.patcog.2008.09.004","volume":"42","author":"C.K. Yeh","year":"2009","unstructured":"Yeh, C.K., Chen, Y.S., Fan, W.C., Liao, Y.Y.: A disk expansion segmentatoin method for ultrasonic breast lesions. Pattern Recognition\u00a042(5), 596\u2013606 (2009)","journal-title":"Pattern Recognition"},{"issue":"7","key":"12_CR11","doi-asserted-by":"publisher","first-page":"1191","DOI":"10.1109\/TMI.2012.2230403","volume":"32","author":"W.K. Moon","year":"2013","unstructured":"Moon, W.K., Shen, Y.W., Bae, M.S., Huang, C.H., Chen, J.H.: Computer-Aided Tumor Detection Based on Multi-scale Blob Detection Algorithm in Automated Breast Ultrasound Images. IEEE Transaction on Medical Imaging\u00a032(7), 1191\u20131200 (2013)","journal-title":"IEEE Transaction on Medical Imaging"},{"issue":"2","key":"12_CR12","doi-asserted-by":"publisher","first-page":"179","DOI":"10.1007\/s10549-004-2043-z","volume":"89","author":"R.F. Chang","year":"2005","unstructured":"Chang, R.F., Wu, W.J., Moon, W.K., Chen, D.R.: Automatic ultrasound segmentation and morphology based diagnosis of solid breast tumors. Breast Cancer Research and Treatment\u00a089(2), 179\u2013185 (2005)","journal-title":"Breast Cancer Research and Treatment"},{"key":"12_CR13","doi-asserted-by":"crossref","unstructured":"Sennett, C.A., Giger, M.L.: Automated Method for Improving System Performance of Computer-Aided Diagnosis in Breast Ultrasound 28(1), 122\u2013128 (2009)","DOI":"10.1109\/TMI.2008.928178"},{"key":"12_CR14","doi-asserted-by":"crossref","unstructured":"Lihua, L., Jiangli, L., Deyu, L., Tianfu, W.: Segmentation of medical ultrasound image based on markov random field. Bioinformatics and Biomedical Engineering 968\u2013971 (2007)","DOI":"10.1109\/ICBBE.2007.251"},{"key":"12_CR15","doi-asserted-by":"crossref","unstructured":"Deka, B., Ghosh, D.: Ultrasound image segmentation using watersheds and region merging. In IET International Conference on Visual Information Engineering, Banglore, pp. 110\u2013115(2006)","DOI":"10.1049\/cp:20060512"},{"issue":"10","key":"12_CR16","doi-asserted-by":"publisher","first-page":"1889","DOI":"10.1109\/TMI.2012.2206398","volume":"31","author":"W.C.A. Pereira","year":"2012","unstructured":"Pereira, W.C.A., Infantosi, A.F.C.: Analysis of Co-Occurrence Texture Statistics as a Function of Gray-Level Quantization for Classifying Breast Ultrasound. IEEE Transactions on Medical Imaging\u00a031(10), 1889\u20131899 (2012)","journal-title":"IEEE Transactions on Medical Imaging"},{"issue":"7","key":"12_CR17","doi-asserted-by":"publisher","first-page":"873","DOI":"10.1016\/j.acra.2008.01.010","volume":"15","author":"W.J. Wu","year":"2008","unstructured":"Wu, W.J., Kyung Moon, W.: Ultrasound breast tumor image computer-aided diagnosis with texture and morphological features. Academic Radiology\u00a015(7), 873\u2013880 (2008)","journal-title":"Academic Radiology"},{"key":"12_CR18","unstructured":"Ramana Reddy, B.V., Suresh, A., Radhika Mani, M., Vijaya Kumar, V.: Classification of Textures Based on Features Extracted from Preprocessing Images on Random Windows. International Journal of Advanced Science and Technology\u00a09 (2009)"},{"key":"12_CR19","doi-asserted-by":"crossref","unstructured":"Tamilselvi, P.R., Thangaraj, P.: Improved Gabor filter for extracting texture edge features in US kidney images. Modern Applied Science\u00a04 (2010)","DOI":"10.5539\/mas.v4n4p62"},{"issue":"2","key":"12_CR20","doi-asserted-by":"publisher","first-page":"464","DOI":"10.1109\/72.991432","volume":"13","author":"C.F. Lin","year":"2002","unstructured":"Lin, C.F., Wang, S.D.: Fuzzy support vector machines. IEEE Transactions on Neural Networks\u00a013(2), 464\u2013471 (2002)","journal-title":"IEEE Transactions on Neural Networks"},{"issue":"6","key":"12_CR21","doi-asserted-by":"publisher","first-page":"2028","DOI":"10.1016\/j.patcog.2010.01.002","volume":"43","author":"B. Lui","year":"2010","unstructured":"Lui, B., Cheng, H., Huang, J., Tian, J., Tang, X., Liu, J.: Probability density difference-based active contour for ultrasound image segmentation. Journal Pattern Recognition\u00a043(6), 2028\u20132042 (2010)","journal-title":"Journal Pattern Recognition"},{"key":"12_CR22","doi-asserted-by":"publisher","first-page":"67","DOI":"10.3844\/jcssp.2010.67.74","volume":"16","author":"S. Selvan","year":"2010","unstructured":"Selvan, S., Kavitha, M., Shenbagadevi, S., Suresh, K.: Feature Extraction for Characterization of Breast Lesions in Ultrasound Elastography and Echography. Journal of Computer Science\u00a016, 67\u201374 (2010)","journal-title":"Journal of Computer Science"},{"issue":"4","key":"12_CR23","first-page":"715","volume":"24","author":"C. Kotropoulos","year":"2004","unstructured":"Kotropoulos, C., Pitas, I.: Segmentation of ultrasonic images using support vector machines. Pattern Recognition Letters\u00a024(4), 715\u2013725 (2004)","journal-title":"Pattern Recognition Letters"},{"key":"12_CR24","doi-asserted-by":"publisher","first-page":"199","DOI":"10.1016\/0020-0255(75)90036-5","volume":"8","author":"L.A. Zadeh","year":"1975","unstructured":"Zadeh, L.A.: The concept of linguistic variable and its application to approximate reasoning - I. Information Science\u00a08, 199\u2013249 (1975)","journal-title":"Information Science"},{"issue":"3","key":"12_CR25","doi-asserted-by":"publisher","first-page":"338","DOI":"10.1016\/S0019-9958(65)90241-X","volume":"8","author":"L.A. Zadeh","year":"1965","unstructured":"Zadeh, L.A.: Fuzzy sets. Information and Control\u00a08(3), 338\u2013353 (1965)","journal-title":"Information and Control"},{"key":"12_CR26","doi-asserted-by":"crossref","unstructured":"Sahba, F., Tizhoosh, M.R., Salma, M.M.A.: Segmentation of prostate boundaries using regional contrast enhancement. In: The IEEE International Conference on Image Processing (ICIP), vol.\u00a02, pp. 1266\u20131269 (2005)","DOI":"10.1109\/ICIP.2005.1530293"},{"key":"12_CR27","doi-asserted-by":"crossref","unstructured":"Haihui, W., Yanli, W., Tongzhou, T., Miao, W., Mingpeng, W.: Images segmentation method on comparison of feature extractoin techniques. In: 2nd International Workshop on Intelligent Systems and Applications, pp. 1\u20134 (2010)","DOI":"10.1109\/IWISA.2010.5473374"},{"issue":"14","key":"12_CR28","doi-asserted-by":"publisher","first-page":"1825","DOI":"10.1016\/S0167-8655(02)00155-1","volume":"23","author":"Z. Dokur","year":"2002","unstructured":"Dokur, Z., Olmez, T.: Segmentation of ultrasound images by using a hybrid neural network. Pattern Recognition Letters\u00a023(14), 1825\u20131836 (2002)","journal-title":"Pattern Recognition Letters"},{"key":"12_CR29","first-page":"329","volume":"31","author":"A. Sarti","year":"2004","unstructured":"Sarti, A., Corsi, C., Mazzini, E., Lamberti, C.: Maximum likelihood segmentation with Rayleigh distribution of ultrasound images. Computers in Cardiology\u00a031, 329\u2013332 (2004)","journal-title":"Computers in Cardiology"},{"key":"12_CR30","first-page":"957","volume":"5685","author":"H. Zhang","year":"2005","unstructured":"Zhang, H., Fritts, J.E., Goldman, S.A.: A fast texture feature extraction method for region-based image segmentation. Image and Video Communications and Processing\u00a05685, 957\u2013968 (2005)","journal-title":"Image and Video Communications and Processing"},{"key":"12_CR31","volume-title":"Pattern Classification","author":"R.O. Duda","year":"2001","unstructured":"Duda, R.O., Hart, P.E., Stork, D.G.: Pattern Classification. Wiley, New York (2001)"},{"key":"12_CR32","unstructured":"Saini, K., Dewal, M.L., Rohit, M.: Ultrasound Imaging and Image Segmentation in the area of Ultrasound: A Review. International Journal of Advanced Science and Technology\u00a024 (2010)"},{"key":"12_CR33","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"176","DOI":"10.1007\/978-3-642-21257-4_22","volume-title":"Pattern Recognition and Image Analysis","author":"A.S.M.. Sohail","year":"2011","unstructured":"Sohail, A.S.M., Bhattacharya, P., Mudur, S.P., Krishnamurthy, S.: Classification of ultrasound medical images using distance based feature selection and fuzzy-SVM. In: Vitri\u00e0, J., Sanches, J.M., Hern\u00e1ndez, M. (eds.) IbPRIA 2011. LNCS, vol.\u00a06669, pp. 176\u2013183. Springer, Heidelberg (2011)"},{"key":"12_CR34","unstructured":"Burrell, L.S., Smart, O.L., Georgoulas, G., Marsh, E., Vachtsevanos, G.J.: Evaluation of Feature Selection Techniques for Analysis of Functional MRI and EEG. In: 2007 International Conference on Data Mining, DMIN, Las Vegas (2007)"}],"container-title":["Lecture Notes in Computer Science","Artificial Intelligence and Soft Computing"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-07176-3_12","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,3]],"date-time":"2025-05-03T00:36:04Z","timestamp":1746232564000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-07176-3_12"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014]]},"ISBN":["9783319071756","9783319071763"],"references-count":34,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-07176-3_12","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2014]]}}}