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Localization and classification of cell nuclei in post-neoadjuvant breast cancer surgical specimen using fully convolutional networks.

, , , , , , and . Medical Imaging: Digital Pathology, volume 10581 of SPIE Proceedings, page 105810O. SPIE, (2018)

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Automated Segmentation of DCIS in Whole Slide Images., , , , and . ECDP, volume 11435 of Lecture Notes in Computer Science, page 67-74. Springer, (2019)The transition module: a method for preventing overfitting in convolutional neural networks., , , , and . Comput. methods Biomech. Biomed. Eng. Imaging Vis., 7 (3): 260-265 (2019)Transitioning Between Convolutional and Fully Connected Layers in Neural Networks., , , , and . DLMIA/ML-CDS@MICCAI, volume 10553 of Lecture Notes in Computer Science, page 143-150. Springer, (2017)Localization and classification of cell nuclei in post-neoadjuvant breast cancer surgical specimen using fully convolutional networks., , , , , , and . Medical Imaging: Digital Pathology, volume 10581 of SPIE Proceedings, page 105810O. SPIE, (2018)Determining tumor cellularity in digital slides using ResNet., , , , and . Medical Imaging: Digital Pathology, volume 10581 of SPIE Proceedings, page 105810U. SPIE, (2018)