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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)

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Addressing class imbalance in deep learning for small lesion detection on medical images., , and . Comput. Biol. Medicine, (2020)A Novel Smart System for Contaminants Detection and Recognition in Water., , , , , , , , and . SMARTCOMP, page 186-191. IEEE, (2019)Improving the automated detection of calcifications by combining deep cascades and deep convolutional nets., , , , , , and . IWBI, volume 10718 of SPIE Proceedings, page 1071808. SPIE, (2018)Transfer Learning in Breast Mass Detection on the OMI-DB Dataset: A Preliminary Study., , , , and . ICPR Workshops (1), volume 13643 of Lecture Notes in Computer Science, page 529-538. Springer, (2022)A False Positive Reduction System For Continuous Water Quality Monitoring., , , , , , , , , and 3 other author(s). SMARTCOMP, page 311-316. IEEE, (2021)On the Duality Between Retinex and Image Dehazing., , , , and . CVPR, page 8212-8221. Computer Vision Foundation / IEEE Computer Society, (2018)Improving the Automated Detection of Calcifications Using Adaptive Variance Stabilization., , , , , , , and . IEEE Trans. Med. Imaging, 37 (8): 1857-1864 (2018)Combining Convolutional Neural Networks for Multi-context Microcalcification Detection in Mammograms., , , , and . CAIP Workshops, volume 1089 of Communications in Computer and Information Science, page 36-44. Springer, (2019)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)Mammogram denoising to improve the calcification detection performance of convolutional nets., , , , , , , , and . IWBI, volume 10718 of SPIE Proceedings, page 107180W. SPIE, (2018)