【論文閱讀筆記】CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning
本文是吳恩達哈佛大學團隊在2017年發表的文章，提出CheXNet技術，即一個使用ChestX-ray14數據集訓練的121層的深度卷積網絡，該網絡通過胸片識別肺炎的準確率已經和人類放射科醫生持平甚至更高。網絡輸入爲人體正面掃描的胸片，輸入時患肺炎的概率，爲了更好的可視化，使用了熱力圖(Class activation mapping)。 1.數據 使用Ches
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相關文章
- 1. 【論文筆記】（二）CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning
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