[journal] Howard Lee / 2015 / Image based computer aided diagnosis system for cancer detection / Expert Systems with Applications 42 (12) : 5356~5365

[journal] N. Petrick / 2013 / Evaluation of computer-aided detection and diagnosis systems / Med Phys 40 (8)

[journal] Isabelle Guyon / 2003 / An Introduction to Variable and Feature Selection / Journal of Machine Learning Research 3

[journal] Huan Liu / 2005 / Evolving Feature Selection / IEEE Intelligent Systems and Their Applications 20 (4)

[journal] Z. Vlad / 2009 / Fuzzy Clustering in an Intelligent Agent for Diagnosis Establishment / Scientific Bulletin of the Petru Maior University of Tirgu Mures 6

[journal] 이현숙 / 2009 / Fuzzy Cluster Based Diagnosis System for Digital Mammogram / 정보처리학회논문지. 소프트웨어 및 데이터 공학 / 한국정보처리학회 16 (2) : 165~172

[book] Heath, M. / 2001 / The Digital Database for Screening Mammography / Medical Physics Publishing

[other] J.Y. Lo / 2003 / Computer-aided classification of breast microcalcification clusters: Merging of features from image processing and radiologists

[confproc] R. Panchal / 2006 / Characterization of breast abnormality patterns in digital mammograms using autoassociator neural network / International Conference on Image Processing 2006, Part III, LNCS 4234 : 127~136

[confproc] S. Kim / 2007 / Mass lesions classification in digital mammography using optimal subset of bi-rads and gray level features / IEEE proceedings of ITAB2007 : 99~102

[book] Qinpei Zhao / 2012 / Cluster Validity in Clustering Methods, Dissertations in Forestry and Natural Sciences / Publications of University of Eastern Finland

[confproc] Csaba L. / 2006 / Cluster Validity Measurement Techniques / proc. of the 5th WSEAS International Conference on AI, KE and DB

[journal] Nabiha A. / 2013 / A Computer-Aided Diagnosis System for Breast Cancer Combining Features Complementarily New Scheme of SVM Classifiers Fusion / International Journal of Mulimedia and Ubiquitous Engineering 8 (4)

[confproc] R. Panchal / 2006 / Characterization of breast abnormality patterns in digital mammograms using autoassociator neural network / International Conference on Image Processing 2006, Part III, LNCS 4234 : 127~136

[confproc] M. Radovic / 2013 / Application of Data Mining Algorithms for Mammogram Classification / 13th conf. on Bioinformatics and Bioengineering(BIBE)

[confproc] L. Sun / 2010 / A Novel Classification Scheme for Breast Masses Based on Multi-view Information Fusion / 4th Int. Conf. on Bioinformatics & Biomedical Engineering (iCBBE)

[confproc] H. Zhao / 2011 / Classification of Breast Masses Based on Multi-view Information Fusion Using Multi-Agent Method / 5th Int. Conf. on Bioinformatics & Biomedical Engineering(iCBBE)

[web] / http://marathon.csee.usf.edu/Mammography/Database.html / http://marathon.csee.usf.edu/Mammography/Database.html