Augmenting the National Institutes of Health Chest Radiograph Dataset with Expert Annotations of Possible Pneumonia-Reference-Cited by-同舟云学术

Augmenting the National Institutes of Health Chest Radiograph Dataset with Expert Annotations of Possible Pneumonia

Published:2019-01 Issue:1 Volume:1 Page:e180041
ISSN:2638-6100
Container-title:Radiology: Artificial Intelligence
language:en
Short-container-title:Radiology: Artificial Intelligence

Author:

Shih George^ORCID,Wu Carol C.,Halabi Safwan S.^ORCID,Kohli Marc D.,Prevedello Luciano M.^ORCID,Cook Tessa S.,Sharma Arjun,Amorosa Judith K.,Arteaga Veronica,Galperin-Aizenberg Maya,Gill Ritu R.^ORCID,Godoy Myrna C.B.,Hobbs Stephen^ORCID,Jeudy Jean,Laroia Archana,Shah Palmi N.,Vummidi Dharshan,Yaddanapudi Kavitha,Stein Anouk

Publisher

Radiological Society of North America (RSNA)

Subject

General Medicine

Link

http://pubs.rsna.org/doi/pdf/10.1148/ryai.2019180041

Reference4 articles.

1. The Pascal Visual Object Classes (VOC) Challenge

2. Fleischner Society: Glossary of Terms for Thoracic Imaging

3. Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists

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