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A multitask deep learning method in simultaneously predicting occult invasive disease in ductal carcinoma in-situ and segmenting microcalcifications in mammography., , , , , , , и . Medical Imaging: Computer-Aided Diagnosis, том 11314 из SPIE Proceedings, SPIE, (2020)Prediction of occult invasive disease in ductal carcinoma in situ using computer-extracted mammographic features., , , , , , , и . Medical Imaging: Computer-Aided Diagnosis, том 10134 из SPIE Proceedings, стр. 101341I. SPIE, (2017)Malignant microcalcification clusters detection using unsupervised deep autoencoders., , , , , , , , и . Medical Imaging: Computer-Aided Diagnosis, том 10950 из SPIE Proceedings, стр. 109502Q. SPIE, (2019)Can upstaging of ductal carcinoma in situ be predicted at biopsy by histologic and mammographic features?, , , , , , , и . Medical Imaging: Computer-Aided Diagnosis, том 10134 из SPIE Proceedings, стр. 101342X. SPIE, (2017)Automated Dcis Identification From Multiplex Immunohistochemistry Using Generative Adversarial Networks., , , , , , , , и . ISBI, стр. 1-5. IEEE, (2022)Learning better deep features for the prediction of occult invasive disease in ductal carcinoma in situ through transfer learning., , , , , , , , , и . Medical Imaging: Computer-Aided Diagnosis, том 10575 из SPIE Proceedings, стр. 105752R. SPIE, (2018)Improving classification with forced labeling of other related classes: application to prediction of upstaged ductal carcinoma in situ using mammographic features., , , , , , , , и . Medical Imaging: Computer-Aided Diagnosis, том 10575 из SPIE Proceedings, стр. 105750R. SPIE, (2018)The Coevolution of Mutation Rates.. ECAL, том 929 из Lecture Notes in Computer Science, стр. 219-233. Springer, (1995)The evolution of biodiversity: a simulation approach.. Massachusetts Institute of Technology, Cambridge, MA, USA, (1998)ndltd.org (oai:dspace.mit.edu:1721.1/49646).Wisdom Of The Crowd For Early Detection In Barrett's Esophagus., , , , , , , и . ISBI, стр. 531-535. IEEE, (2021)