Abnormality Detection and Localization in Chest X-Rays using Deep Convolutional Neural Networks
作者： Khalid Ashraf , Mohammad Tariqul Islam , Ahmed Tahseen Minhaz , Abdul Aowal
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摘要: Chest X-Rays (CXRs) are widely used for diagnosing abnormalities in the heart and lung area. Automatically detecting these abnormalities with high accuracy could greatly enhance real world diagnosis processes. Lack of standard publicly available dataset and benchmark studies, however, makes it difficult to compare various detection methods. In order to overcome these difficulties, we have used a publicly available Indiana CXR, JSRT and Shenzhen dataset and studied the performance of known deep convolutional network …
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