COVID-Transformer: Interpretable COVID-19 Detection Using Vision Transformer for Healthcare
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- Abhinav Vepa & Amer Saleem & Kambiz Rakhshan & Alireza Daneshkhah & Tabassom Sedighi & Shamarina Shohaimi & Amr Omar & Nader Salari & Omid Chatrabgoun & Diana Dharmaraj & Junaid Sami & Shital Parekh &, 2021. "Using Machine Learning Algorithms to Develop a Clinical Decision-Making Tool for COVID-19 Inpatients," IJERPH, MDPI, vol. 18(12), pages 1-22, June.
- Trudie Lang, 2020. "Plug COVID-19 research gaps in detection, prevention and care," Nature, Nature, vol. 583(7816), pages 333-333, July.
- Anna L. Cass & Meghan M. Slining & Connie Carson & Jason Cassidy & M. Carmela Epright & Ann E. Gilchrist & Kenneth Peterson & John F. Wheeler & Natalie S. The, 2021. "Risk Management of COVID-19 in the Residential Educational Setting: Lessons Learned and Implications for Moving Forward," IJERPH, MDPI, vol. 18(18), pages 1-13, September.
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- Lan Huang & Yanli Qu & Kai He & Yan Wang & Dan Shao, 2022. "DenSec: Secreted Protein Prediction in Cerebrospinal Fluid Based on DenseNet and Transformer," Mathematics, MDPI, vol. 10(14), pages 1-10, July.
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Keywords
vision transformer; COVID-19; deep learning; data science; healthcare; interpretability; transfer learning; grad-CAM;All these keywords.
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