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The Effect of Training Sample Size on Performance of Mass Detection.

, and . Digital Mammography / IWDM, volume 5116 of Lecture Notes in Computer Science, page 343-349. Springer, (2008)

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Experiments with radiologists and a fully automated method for characterization of microcalcification clusters., , and . CARS, volume 1230 of International Congress Series, page 586-592. Elsevier, (2001)Gray-scale and geometric registration of full-field digital and film-screen mammograms., and . Medical Image Anal., 11 (2): 146-156 (2007)Computer-aided diagnosis with temporal analysis to improve radiologists' interpretation of mammographic mass lesions., , and . IEEE Trans. Inf. Technol. Biomed., 14 (3): 803-808 (2010)Chestwall Segmentation in 3D Breast Ultrasound Using a Deformable Volume Model., and . IPMI, volume 4584 of Lecture Notes in Computer Science, page 245-256. Springer, (2007)Interval change analysis to improve computer aided detection in mammography., and . Medical Image Anal., 10 (1): 82-95 (2006)Automated Detection of DCIS in Whole-Slide H&E Stained Breast Histopathology Images., , , , , , and . IEEE Trans. Medical Imaging, 35 (9): 2141-2150 (2016)Deep learning of symmetrical discrepancies for computer-aided detection of mammographic masses., and . Medical Imaging: Computer-Aided Diagnosis, volume 10134 of SPIE Proceedings, page 101341J. SPIE, (2017)Improved Correction for Signal Dependent Noise Applied to Automatic Detection of Microcalcifications., and . Digital Mammography / IWDM, volume 13 of Computational Imaging and Vision, page 169-176. Springer, (1998)Discrete dynamic contour model for mass segmentation in digital mammograms., , and . Medical Imaging: Image Processing, volume 3661 of SPIE Proceedings, SPIE, (1999)The use of contextual information for computer aided detection of masses in mammograms., and . Medical Imaging: Computer-Aided Diagnosis, volume 7260 of SPIE Proceedings, page 72600Q. SPIE, (2009)