TL;DR针对乳腺癌的计算机辅助检测方法,通过对乳腺 X 线照片图像的卷积神经网络 (CNN) 自动建模和分类,实现对钙化和肿块的分类和定位,以降低放射科医师的成本和工作量。
Abstract
breast cancer is the most common cancer in women worldwide. The most common
screening technology is mammography. To reduce the cost and workload of
radiologists, we propose a computer aided detection approach for