Assessment of Breast Cancer Histology using Densely Connected Convolutional Networks

9 Apr 2018 • Matthias Kohl • Christoph Walz • Florian Ludwig • Stefan Braunewell • Maximilian Baust

Breast cancer is the most frequently diagnosed cancer and leading cause of cancer-related death among females worldwide. In this article, we investigate the applicability of densely connected convolutional neural networks to the problems of histology image classification and whole slide image segmentation in the area of computer-aided diagnoses for breast cancer... (read more)

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