MFCNet: Multi-Feature Fusion Neural Network for Thoracic Disease Classification
Author:
Affiliation:
1. Xijing University,College of electronic information,Xian,China
2. Shandong Labor Vocational And Technical College,Department of Information Engineering,Jinan,China
Funder
National Natural Science Foundation of China
Xijing University
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9994793/9994847/09995418.pdf?arnumber=9995418
Reference25 articles.
1. ChestX-Ray8: Hospital-Scale Chest X-Ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases
2. CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning;Rajpurkar;arXiv:1711.05225,2017
3. Very deep convolutional networks for large-scale image recognition;Simonyan;arXiv preprint arXiv:1409.1556,2014
4. Going deeper with convolutions
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1. CvTGNet: A Novel Framework for Chest X-Ray Multi-label Classification;Proceedings of the 21st ACM International Conference on Computing Frontiers;2024-05-07
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