Natural Language Processing for Large-Scale Medical Image Analysis Using Deep Learning
Hoo-Chang Shin; Le Lu; Ronald M. Summers National Institutes of Health Clinical Center, Bethesda, MD, United States
Abstract
Recent advances in deep learning enable us to analyze a large number of images efficiently; however, collecting such large dataset has been mostly hindered by the rate of manual human efforts. Nonetheless, medical images are usually saved with the accompanying radiology reports, and accommodating the natural language information for image analysis has great potential. For example, data collection can be automated to leverage the large volume of data available in the Picture Archiving and Communication Systems (PACS). ...
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