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Pathologic analysis of surgical excision specimens for breast carcinoma is important to evaluate the completeness of surgical excision and has implications for future treatment.
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G. Campanella, M. G. Hanna, L. Geneslaw, A. Miraflor, V. W. K. Silva, K. J. Busam, E. Brogi, V. E. Reuter, D. S. Klimstra, T. J. Fuchs, Clinical-grade computational pathology using weakly supervised deep learning on whole slide images, Nature Medicine 25 (2019) 1301–1309
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2019
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H. Tokunaga, Y. Teramoto, A. Yoshizawa, R. Bise, Adaptive weighting multi-field-of-view cnn for semantic segmentation in pathology, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (2019) 12597–12606
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J. M. Bokhorst, H. Pinckaers, P. van Zwam, I. Nagtegaal, J. van der Laak, F. Ciompi, Learning from sparsely annotated data for semantic segmentation in histopathology images, Proceedings of the International Conference on Medical Imaging with Deep Learning (2019) 84–91
2019
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