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Apr, 2018
使用密集连接卷积网络评估乳腺癌组织学
Assessment of Breast Cancer Histology using Densely Connected Convolutional Networks
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Matthias Kohl, Christoph Walz, Florian Ludwig, Stefan Braunewell, Maximilian Baust
TL;DR
探讨利用密集连接卷积神经网络进行乳腺癌计算机辅助诊断中的组织学图像分类和全扫描图像分割的可行性。采用迁移学习，应用于2018年乳腺癌组织学图像大挑战的数据集，并研究不同方法。
Abstract
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 networ
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