Automated COVID-19 diagnosis using Deep Multiple Instance Learning with CycleGAN
Author:
Affiliation:
1. Puducherry Technological University,Department of Computer Science and Engineering,Puducherry,605014
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9761170/9761283/09761334.pdf?arnumber=9761334
Reference11 articles.
1. Put to the test: use of rapid testing technologies for covid-19
2. COVID-19 Antibody Test/Vaccination Certification: There's an App for That;eisenstadt;Open Bio Med Eng J,2020
3. Accurate Screening of COVID-19 Using Attention-Based Deep 3D Multiple Instance Learning
4. Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks
5. CovidGAN: Data Augmentation Using Auxiliary Classifier GAN for Improved Covid-19 Detection
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