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Generalized Radiograph Representation Learning via Cross-supervision between Images and Free-text Radiology Reports

2021-11-04

Abstract excerpt

Pre-training lays the foundation for recent successes in radiograph analysis supported by deep learning. It learns transferable image representations by conducting large-scale fully-supervised or self-supervised learning on a source domain. However, supervised pre-training requires a complex and labor intensive two-stage human-assisted annotation process while self-supervised learning cannot compete with the super...

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Literature Corpus work
f265cfbb-dcf3-5770-91da-b7ecc412d7dc
DOI
10.1101/2021.11.02.21265838
Open publication

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Generalized Radiograph Representation Learning via Cross-supervision between Images and Free-text Radiology ReportsDOI 10.1101/2021.11.02.21265838
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