Each year, the treatment decisions for more than 230,000 breast cancer
patients in the U.S. hinge on whether the cancer has metastasized away from the
breast. metastasis detection is currently performed by pathol
本文研究了利用卷积神经网络的计算机诊断技术在乳腺癌病理学中的应用,从组织样本的全幅图像中快速自动检测淋巴结转移的新方法,并且在 2016 年 Camelyon Grand Challenge 的数据集上取得了优异的性能,不仅比其他同类方法检测肿瘤定位的速度更快,而且在 WSI 分类任务上超越了人类表现。