Deep learning for automated classification of tuberculosis-related chest X-Ray: dataset distribution shift limits diagnostic performance generalizability-Reference-Cited by-同舟云学术

Deep learning for automated classification of tuberculosis-related chest X-Ray: dataset distribution shift limits diagnostic performance generalizability

Published:2020-08 Issue:8 Volume:6 Page:e04614
ISSN:2405-8440
Container-title:Heliyon
language:en
Short-container-title:Heliyon

Author:

Sathitratanacheewin Seelwan,Sunanta Panasun,Pongpirul Krit^ORCID

Funder

Health Systems Research Institute

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference10 articles.

1. Chest Radiography in Tuberculosis Detection: Summary of Current WHO Recommendations and Guidance on Programmatic Approaches;World Health Organization,2016

2. Machine learning for healthcare: on the verge of a major shift in healthcare epidemiology;Wiens;Clin. Infect. Dis.,2018

3. ChestX-ray8: Hospital-Scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases;Wang,2017

4. CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning;Rajpurkar,2017

5. Learning to Diagnose from Scratch by Exploiting Dependencies Among Labels;Yao,2017

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