【论文阅读笔记】CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning
本文是吴恩达哈佛大学团队在2017年发表的文章，提出CheXNet技术，即一个使用ChestX-ray14数据集训练的121层的深度卷积网络，该网络通过胸片识别肺炎的准确率已经和人类放射科医生持平甚至更高。网络输入为人体正面扫描的胸片，输入时患肺炎的概率，为了更好的可视化，使用了热力图(Class activation mapping)。 1.数据 使用Ches
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