卷积神经网络
组织病理学
计算机科学
机制(生物学)
人工智能
癌症
乳腺癌
模式识别(心理学)
人工神经网络
病理
医学
内科学
认识论
哲学
作者
Yu Chih Liang,Yang Jinglong,Xiongwen Quan,Han Zhang
出处
期刊:Chinese Automation Congress
日期:2019-11-01
被引量:5
标识
DOI:10.1109/cac48633.2019.8997460
摘要
Lymph node tissue pathological analysis is one of the common methods for doctors to evaluate the types and stage of breast cancer. Using deep learning methods to detect breast cancer metastases has great research value. We proposes a model to automatically classify breast cancer metastases, using a convolutional neural network with attention mechanism. A Convolutional Block Attention Module is used in our network. We validate our model on PCam dataset, and obtain an AUC score of 0.976. These results demonstrate that using computer vision method has a great performance in pathological diagnoses.
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