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Deep Convolutional Neural Networks for Breast Cancer Histology Image Analysis
[chapter]
2018
Lecture Notes in Computer Science
Breast cancer is one of the main causes of cancer death worldwide. Early diagnostics significantly increases the chances of correct treatment and survival, but this process is tedious and often leads to a disagreement between pathologists. Computer-aided diagnosis systems showed potential for improving the diagnostic accuracy. In this work, we develop the computational approach based on deep convolution neural networks for breast cancer histology image classification. Hematoxylin and eosin
doi:10.1007/978-3-319-93000-8_83
fatcat:pganpc3jmjbi7kceo7tgantydi