Dual-Masked Autoencoders: Application to Multi-Labeled Pediatric Thoracic Diseases
Author:
Affiliation:
1. Department of Healthcare Information Technology, Inje University, Gimhae-si, Republic of Korea
2. Department of Medical Information Technology, Inje University, Gimhae-si, Republic of Korea
Funder
National Research Foundation of Korea (NRF) grant funded by Korean Government [Ministry of Science and ICT (MSIT)]
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx8/6287639/10380310/10570434.pdf?arnumber=10570434
Reference29 articles.
1. Pediatric chest disorders: Practical imaging approach to diagnosis;Hart,2019
2. Long-term effects of pneumonia in young children
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4. Pediatric chest radiograph interpretation: how far has artificial intelligence come? A systematic literature review
5. Bimodal CNN for cardiovascular disease classification by co-training ECG grayscale images and scalograms
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