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Large scale deep learning for computer aided detection of mammographic lesions., , , , , , , and . Medical Image Anal., (2017)Boosting classification performance in computer aided diagnosis of breast masses in raw full-field digital mammography using processed and screen film images., and . Medical Imaging: Computer-Aided Diagnosis, volume 9035 of SPIE Proceedings, page 90351B. SPIE, (2014)ELVIS: Empowering Locality of Vision Language Pre-training with Intra-modal Similarity., , , , and . CoRR, (2023)Region enhanced neural Q-learning for solving model-based POMDPs., and . IJCNN, page 1-8. IEEE, (2010)Intra-class Contrastive Learning Improves Computer Aided Diagnosis of Breast Cancer in Mammography., , , , , and . MICCAI (3), volume 13433 of Lecture Notes in Computer Science, page 55-64. Springer, (2022)A Comparison Between a Deep Convolutional Neural Network and Radiologists for Classifying Regions of Interest in Mammography., , , , , , , and . Digital Mammography / IWDM, volume 9699 of Lecture Notes in Computer Science, page 51-56. Springer, (2016)Classifying Symmetrical Differences and Temporal Change in Mammography Using Deep Neural Networks., and . CoRR, (2017)Enhancing Breast Cancer Risk Prediction by Incorporating Prior Images., , , , , and . MICCAI (5), volume 14224 of Lecture Notes in Computer Science, page 389-398. Springer, (2023)Automatic Microcalcification Detection in Multi-vendor Mammography Using Convolutional Neural Networks., , , , , and . Digital Mammography / IWDM, volume 9699 of Lecture Notes in Computer Science, page 35-42. Springer, (2016)A survey on deep learning in medical image analysis., , , , , , , , and . Medical Image Anal., (2017)