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Oct, 2018
用于乳腺癌组织学图像分类的分层 ResNeXt 模型
Hierarchical ResNeXt Models for Breast Cancer Histology Image Classification
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Ismaël Koné, Lahsen Boulmane
TL;DR
介绍了一种分层卷积神经网络系统来对乳腺癌组织学图像进行四种病理分类，使用BACH挑战数据集进行评估，测试集上的准确率达到了0.99，在BACH的挑战测试中取得了0.81的准确率，排名第八。
Abstract
microscopic histology image analysis
is a cornerstone in early detection of
breast cancer
. However these images are very large and manual analysis is error prone and very time consuming. Thus automating this proc
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