Interpretable Pneumonia Detection by Combining Deep Learning and Explainable Models With Multisource Data

Author:

Ren HaoORCID,Wong Aslan B.ORCID,Lian WanminORCID,Cheng Weibin,Zhang Ying,He Jianwei,Liu Qingfeng,Yang Jiasheng,Zhang Chen JasonORCID,Wu KaishunORCID,Zhang HaodiORCID

Funder

Key-Area Research and Development Program of Guangdong Province

National Natural Science Foundation of China

Tencent Rhino-Bird Young Faculty Open Fund

Priming Research Fund in Shenzhen University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Cited by 24 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. Deep Learning for Pneumonia Detection in Chest X-ray Images: A Comprehensive Survey;Journal of Imaging;2024-07-23

2. Pneumonia screening on chest X-rays with optimized ensemble model;Expert Systems with Applications;2024-05

3. Tri-UnityNet: A Multifaceted Ensemble Model for Pneumonia Detection;2024 International Conference on Advances in Data Engineering and Intelligent Computing Systems (ADICS);2024-04-18

4. Detection and Classification of Pneumonia in Chest X-ray Images using Deep Learning Techniques;2024 10th International Conference on Communication and Signal Processing (ICCSP);2024-04-12

5. Internet-of-Things-Assisted Wireless Body Area Network-Enabled Biosensor Framework for Detecting Ventilator and Hospital-Acquired Pneumonia;IEEE Sensors Journal;2024-04-01

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