WebJan 20, 2024 · ChestX-ray14 is a medical imaging dataset which comprises 112,120 frontal-view X-ray images of 30,805 (collected from the year of 1992 to 2015) unique patients with the text-mined fourteen common disease labels, mined from the text radiological reports via NLP techniques. It expands on ChestX-ray8 by adding six additional thorax diseases: … Webneural network trained on ChestX-ray14, cur-rently the largest publicly available chest X-ray dataset, containing over 100,000 frontal-view X-ray images with 14 diseases. Four practicing academic radiologists annotate a test set, on which we compare the perfor-mance of CheXNet to that of radiologists. We nd that CheXNet exceeds average ra-
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Detecting Abnormal Chest X-rays using Deep Learning
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