Robust Stochastic Neural Ensemble Learning With Noisy Labels for Thoracic Disease Classification-Reference-Cited by-同舟云学术

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Robust Stochastic Neural Ensemble Learning With Noisy Labels for Thoracic Disease Classification

Published:2024-06 Issue:6 Volume:43 Page:2180-2190
ISSN:0278-0062
Container-title:IEEE Transactions on Medical Imaging
language:
Short-container-title:IEEE Trans. Med. Imaging

Author:

Wang Hongyu¹^ORCID,He Jiang²,Cui Hengfei¹^ORCID,Yuan Bo³,Xia Yong¹^ORCID

Affiliation:

1. National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, School of Computer Science and Engineering, Northwestern Polytechnical University, Xi’an, China

2. Huiying Medical Technology Company Ltd., Haidian District, Beijing, China

3. Sichuan Provincial Health Information Center (Sichuan Provincial Health and Medical Big Data Center), Chengdu, China

Funder

National Natural Science Foundation of China

Ningbo Clinical Research Center for Medical Imaging

Natural Science Foundation of Ningbo City, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/42/10547147/10413624.pdf?arnumber=10413624

Reference61 articles.

1. Digital chest radiography: an update on modern technology, dose containment and control of image quality

2. Deployment of artificial intelligence for radiographic diagnosis of COVID‐19 pneumonia in the emergency department

3. ImageNet: A large-scale hierarchical image database

4. Training deep neural-networks using a noise adaptation layer;Goldberger

5. Robust inference via generative classifiers for handling noisy labels;Lee

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