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MCLSG:Multi-modal classification of lung disease and severity grading framework using consolidated feature engineering mechanisms

  • Published:2023-08 Issue: Volume:85 Page:104916
  • ISSN:1746-8094
  • Container-title:Biomedical Signal Processing and Control
  • language:en
  • Short-container-title:Biomedical Signal Processing and Control

Author:

Farhan Abobaker M.Q.,Yang Shangming,Al-Malahi Abdulrahman Q.S.,Al-antari Mugahed A.

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing,Biomedical Engineering

Cited by 3 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. Comparative Analysis of Artificial Intelligence for Predicting COVID-19 using Diverse Chest X-ray Images;2023 3rd International Conference on Emerging Smart Technologies and Applications (eSmarTA);2023-10-10

2. PLDPNet: End-to-end hybrid deep learning framework for potato leaf disease prediction;Alexandria Engineering Journal;2023-09

3. An Automatic Classification Framework using Multi-Modal Deep Learning for Lung Diseases;Proceedings of the 2023 8th International Conference on Biomedical Signal and Image Processing;2023-07-21
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