An Optimized Ensemble Framework for Multi-Label Classification on Long-Tailed Chest X-ray Data
Author:
Affiliation:
1. KT Corporation,KT Research & Development Center,Seoul,Korea
2. Seoul National University,ECE&IPAI,Seoul,Korea
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10350357/10350360/10350895.pdf?arnumber=10350895
Reference24 articles.
1. Deep Learning Approaches for Detecting COVID-19 From Chest X-Ray Images: A Survey
2. Deep Learning for Screening COVID-19 using Chest X-Ray Images
3. A deep learning based approach for automatic detection of COVID-19 cases using chest X-ray images
4. Deep learning for chest X-ray analysis: A survey
5. Label Co-Occurrence Learning With Graph Convolutional Networks for Multi-Label Chest X-Ray Image Classification
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1. TransDD: A transformer-based dual-path decoder for improving the performance of thoracic diseases classification using chest X-ray;Biomedical Signal Processing and Control;2024-05
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