Building a Benchmark Dataset and Classifiers for Sentence-Level Findings in AP Chest X-Rays

Published: Apr 1, 2019
Abstract
Chest X-rays are the most common diagnostic exams in emergency rooms and hospitals. There has been a surge of work on automatic interpretation of chest X-rays using deep learning approaches after the availability of large open source chest X-ray dataset from NIH. However, the labels are not sufficiently rich and descriptive for training classification tools. Further, it does not adequately address the findings seen in Chest X-rays taken in...
Paper Details
Title
Building a Benchmark Dataset and Classifiers for Sentence-Level Findings in AP Chest X-Rays
Published Date
Apr 1, 2019
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