SARS CovidAID: Automatic detection of SARS CoV-19 cases from CT scan images with pretrained transfer learning model (VGG19, RESNet50 and DenseNet169) architecture-Reference-Cited by-同舟云学术

SARS CovidAID: Automatic detection of SARS CoV-19 cases from CT scan images with pretrained transfer learning model (VGG19, RESNet50 and DenseNet169) architecture

Published:2023-07-25 Issue: Volume: Page:
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Container-title:2023 International Conference on Smart Applications, Communications and Networking (SmartNets)
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Author:

Farjana Afia¹,Tabassum Liza Fatema²,Al Mamun Miraz³,Das Madhab Chandra⁴,Maruf Hasan Md¹

Affiliation:

1. University of South Dakota,Department of Computer Science,Vermillion,SD,USA

2. Florida State University,Computer Science,Tallahassee,Florida,USA

3. CHRISTUS Health,Health Outcomes & Analytics,Irving,Texas,United States

4. University of Information Technology and Sciences,Electrical and Electronic Engineering,Dhaka,Bangladesh

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10215379/10215514/10216235.pdf?arnumber=10216235

Reference35 articles.

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2. A Harmful Disorder: Predictive and Comparative Analysis for fetal Anemia Disease by Using Different Machine Learning Approaches

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4. Assisting scalable diagnosis automatically via CT images in the combat against COVID-19

5. Detection of COVID-19 Infection from Routine Blood Exams with Machine Learning: A Feasibility Study

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