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Experiments with radiologists and a fully automated method for characterization of microcalcification clusters., , и . CARS, том 1230 из International Congress Series, стр. 586-592. Elsevier, (2001)Discrete dynamic contour model for mass segmentation in digital mammograms., , и . Medical Imaging: Image Processing, том 3661 из SPIE Proceedings, SPIE, (1999)The use of contextual information for computer aided detection of masses in mammograms., и . Medical Imaging: Computer-Aided Diagnosis, том 7260 из SPIE Proceedings, стр. 72600Q. SPIE, (2009)Estimating corresponding locations in ipsilateral breast tomosynthesis views., , и . Medical Imaging: Computer-Aided Diagnosis, том 7963 из SPIE Proceedings, стр. 796306. SPIE, (2011)Improved Correction for Signal Dependent Noise Applied to Automatic Detection of Microcalcifications., и . Digital Mammography / IWDM, том 13 из Computational Imaging and Vision, стр. 169-176. Springer, (1998)Deep learning of symmetrical discrepancies for computer-aided detection of mammographic masses., и . Medical Imaging: Computer-Aided Diagnosis, том 10134 из SPIE Proceedings, стр. 101341J. SPIE, (2017)Deep Multi-scale Location-aware 3D Convolutional Neural Networks for Automated Detection of Lacunes of Presumed Vascular Origin., , , , , , , , , и 1 other автор(ы). CoRR, (2016)A fully automated system for quantification of background parenchymal enhancement in breast DCE-MRI., , , , , и . Medical Imaging: Computer-Aided Diagnosis, том 9785 из SPIE Proceedings, стр. 97850L. SPIE, (2016)Temporal Change Analysis for Characterization of Mass Lesions in Mammography., , и . IEEE Trans. Med. Imaging, 26 (7): 945-953 (2007)Thickness correction of mammographic images by means of a global parameter model of the compressed breast., и . IEEE Trans. Med. Imaging, 23 (7): 799-806 (2004)