Paper

Assessment of Breast Cancer Histology using Densely Connected Convolutional Networks

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)

Results in Papers With Code
(↓ scroll down to see all results)