A Novel Approach for Multi-Label Chest X-Ray Classification of Common Thorax Diseases-Reference-Cited by-同舟云学术

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A Novel Approach for Multi-Label Chest X-Ray Classification of Common Thorax Diseases

Published:2019 Issue: Volume:7 Page:64279-64288
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Allaouzi Imane^ORCID,Ben Ahmed Mohamed

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/8600701/08719904.pdf?arnumber=8719904

Cited by 70 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Enhanced diagnostic accuracy for multiple lung diseases using a fine-tuned MobileNetV2 model with advanced pre-processing techniques;Expert Systems with Applications;2025-01

2. A systematic review of multilabel chest X-ray classification using deep learning;Multimedia Tools and Applications;2024-09-12

3. MV-MFF: Multi-View Multi-Feature Fusion Model for Pneumonia Classification;Diagnostics;2024-07-19

4. Differentially Private Multi-Label Learning Is Harder Than You'd Think;2024 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW);2024-07-08

5. Improved self-supervised learning for disease identification in chest X-ray images;Journal of Electronic Imaging;2024-07-05

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