Jemal, 2008, Cancer statistics, CA Cancer J. Clin., 58, 71, 10.3322/CA.2007.0010
Kerlikowske, 1993, Positive predictive value of screening mammography by age and family history of breast cancer, JAMA, 270, 2444, 10.1001/jama.1993.03510200050031
Evans, 1999, Mammographic features of ductal carcinoma in situ (DCIS) present on previous mammography, Clin. Radiol., 54, 644, 10.1016/S0009-9260(99)91083-8
Adler, 1992, Mammographic biopsy recommendations, Curr. Opinion Radiol., 4, 123
Kopans, 1991, The positive predictive value of mammography, AJR, 158, 521, 10.2214/ajr.158.3.1310825
Majid, 2003, Missed breast carcinoma: pitfalls and pearls, Radiographics, 23, 881, 10.1148/rg.234025083
Malich, 2006, For mammography: the technique, results, current role and further developments, Eur. Radiol., 16, 1449, 10.1007/s00330-005-0089-x
Taylor, 2008, Computer aids and human second reading as interventions in screening mammography: two systematic reviews to compare effects on cancer detection and recall rate, Eur. J. Cancer, 44, 798, 10.1016/j.ejca.2008.02.016
Noble, 2009, Computer-aided detection mammography for breast cancer screening: systematic review and meta-analysis, Arch. Gynecol. Obstet., 279, 881, 10.1007/s00404-008-0841-y
Brem, 2003, Improvement in sensitivity of screening mammography with computer-aided detection: a multiinstitutional trial, AJR, 181, 687, 10.2214/ajr.181.3.1810687
Astley, 2004, Computer-aided detection in mammography, Clin. Radiol., 59, 390, 10.1016/j.crad.2003.11.017
Giger, 2004, Computerized analysis of images in the detection and diagnosis of breast cancer, Semin. Ultrasound CT MRI, 25, 411, 10.1053/j.sult.2004.07.003
Ko, 2006, Prospective assessment of the computer-aided detection in interpretation of screening mammography, AJR, 187, 1483, 10.2214/AJR.05.1582
Jiang, 1996, Malignant and benign clustered microcalcifications: automated feature analysis and classification, Radiology, 198, 671, 10.1148/radiology.198.3.8628853
Chan, 1997, Computerized classification of malignant and benign microcalcifications on mammograms: texture analysis using an artificial neural network, Phys. Med. Biol., 42, 549, 10.1088/0031-9155/42/3/008
Chan, 1998, Computerized analysis of mammographic microcalcifications in morphological and texture feature spaces, Med. Phys., 25, 2007, 10.1118/1.598389
Nakayama, 2004, CAD scheme for histological classification of clustered microcalcifications on magnification mammograms, Med. Phys., 31, 789, 10.1118/1.1655711
Spyrou, 2006, Hippocrates-mst: a prototype for computer-aided microcalcification analysis and risk assessment for breast cancer, Med. Bio. Eng. Comput., 44, 1007, 10.1007/s11517-006-0117-2
G. Spyrou, M. Nikolaou, M. Koussaris, A. Tsibanis, S. Vassilaros, P. Ligomenides, A system for Computer Aided Early Diagnosis of breast cancer based on microcalcifications analysis, in: Proceedings of the Fifth European Systems Science Congress, October 2002, Crete, Res-Systemica 2, 2002.
Spyrou, 2003, Computer aided image analysis and classification schemes for the early diagnosis of breast cancer, Hermis Int. J. Comput. Math. Appl., 4, 175
Frigas, 2006, Evaluation of a breast cancer computer aided diagnosis system, Stud. Health Technol. Inform., 124, 631
Thiele, 1996, Using tissue texture surrounding calcification clusters to predict benign vs malignant outcomes, Med. Phys., 23, 549, 10.1118/1.597901
Dhawan, 1996, Analysis of mammographic microcalcifications using gray-level image structure features, IEEE. Trans. Med. Imaging, 15, 246, 10.1109/42.500063
Shen, 1994, Application of shape analysis to mammographic calcifications, IEEE. Trans. Med. Imaging, 13, 263, 10.1109/42.293919
Gavrielides, 2002, Parameter optimization of a computer-aided diagnosis scheme for the segmentation of microcalcification clusters in mammograms, Med. Phys., 29, 475, 10.1118/1.1460874
Lee, 2000, A computer-aided design mammography screening system for detection and classification of microcalcifications, Int. J. Med. Inf., 60, 29, 10.1016/S1386-5056(00)00067-8
Betal, 1997, Segmentation and numerical analysis of microcalcifications on mammograms using mathematical morphology, Βritish J. Radiol., 70, 903, 10.1259/bjr.70.837.9486066
Burnside, 2006, Bayesian network to predict breast cancer risk of mammographic microcalcifications and reduce number of benign biopsy results: initial experience 1, Radiology, 240, 666, 10.1148/radiol.2403051096
Leichter, 2004, Computerized evaluation of mammographic lesions: what diagnostic role does the shape of the individual microcalcifications play compared with the geometry of the cluster?, AJR, 182, 705, 10.2214/ajr.182.3.1820705
Leichter, 1999, The use of an interactive software program for quantitative characterization of microcalcifications on digitized film-screen mammograms, Invest. Radiol., 34, 394, 10.1097/00004424-199906000-00002
Soo, 2005, Computer-aided detection of amorphous calcifications, AJR, 184, 887, 10.2214/ajr.184.3.01840887
Papadopoulos, 2005, Characterization of clustered microcalcifications in digitized mammograms using neural networks and support vector machines, Artif. Intell. Med., 34, 141, 10.1016/j.artmed.2004.10.001
Sheshadri, 2006, Computer aided decision system for early detection of breast cancer, Indian J. Med. Res., 124, 149
Fenton, 2007, Influence of computer-aided detection on performance of screening mammography, N. Engl. J. Med., 356, 1399, 10.1056/NEJMoa066099
American College of Radiology (ACR), 2003
Obenauer, 2005, Applications and literature review of the BI-RADS classification, Eur. Radiol., 15, 1027, 10.1007/s00330-004-2593-9
Varas, 1992, Nonpalpable probably benign lesions: role of follow up mammography, Radiology, 184, 409, 10.1148/radiology.184.2.1620838
Sickles, 1991, Periodic mammographic follow up of probably benign lesions: results of 3184 consecutive cases, Radiology, 79, 463, 10.1148/radiology.179.2.2014293
Sickles, 1993, Appropriate role of core breast biopsy in the management of probably benign lesions, Radiology, 188, 315, 10.1148/radiology.188.2.8327670
Logan-Young, 1994, Appropriate role of core breast biopsy in the management of probably benign lesions, Radiology, 190, 313, 10.1148/radiology.190.2.313-a
Kerlikowske, 2003, Evaluation of abnormal mammography results and palpable breast abnormalities, Ann. Intern. Med., 139, 274, 10.7326/0003-4819-139-4-200308190-00010
American College of Surgeons and American College of Radiology, 1998, Physician qualifications for stereotactic breast biopsy: a revised statement, Bull. Am. Coll. Surg., 83, 30
Balu-Maestro, 2006, When should caution be used with regards to histopathologic findings of imaging-guided breast micro- and macro-biopsies?, J. Radiol., 87, 265, 10.1016/S0221-0363(06)74000-8
Brem, 2008, Lobular neoplasia at percutaneous breast biopsy: variables associated with carcinoma at surgical excision, AJR Am. J. Roentgenol., 190, 637, 10.2214/AJR.07.2768
Obuchowski, 2003, Receiver operating curves and their use in radiology, Radiology, 229, 3, 10.1148/radiol.2291010898
Park, 2004, Receiver operating characteristic (ROC) curve: practical review for radiologists, Korean J. Radiol., 5, 11, 10.3348/kjr.2004.5.1.11
Buchbinder, 2004, Computer-aided classification of BI-RADS category 3 breast lesions, Radiology, 230, 820, 10.1148/radiol.2303030089
Marx, 2004, Are unnecessary follow-up procedures induced by computer-aided diagnosis (CAD) in mammography? Comparison of mammographic diagnosis with and without use of CAD, EJR, 51, 66, 10.1016/S0720-048X(03)00144-X