Revolutionizing COVID-19 Diagnosis with Radiographic Images and Deep Learning: A Paradigm Shift in Healthcare-Reference-Cited by-同舟云学术

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Revolutionizing COVID-19 Diagnosis with Radiographic Images and Deep Learning: A Paradigm Shift in Healthcare

Published:2023-12-14 Issue: Volume:7 Page:1-6
ISSN:
Container-title:2023 International Conference on Next Generation Electronics (NEleX)
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Author:

T A Mohanaprakash¹,Saranya S.²,Abinaya M.³,Rajheshwari K. C.⁴,Elangovan D.¹,Gobinath M.⁵

Affiliation:

1. Panimalar Engineeering College,Department of Computer Science and Engineering,Chennai,India

2. Rajalakshmi Institute of Technology,Department of Artificial Intelligence and Data Science,Chennai,India

3. Sri Eshwar College of Engineering,Department of Computer Science and Engineering,Coimbatore,India

4. Sona College of Technology,Department of Computer Science and Engineering,Salem,TamilNadu

5. Sri Manakula Vinayagar Engineering College,Departement of Computer and Communication Engineering,Puducherry

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10420829/10420849/10421070.pdf?arnumber=10421070

Reference15 articles.

1. A survey on deep learning in medical image analysis

2. The continuing 2019-nCoV epidemic threat of novel coronaviruses to global health — The latest 2019 novel coronavirus outbreak in Wuhan, China

3. Clinically applicable deep learning for diagnosis and referral in retinal disease

4. A Deep Learning System to Screen Novel Coronavirus Disease 2019 Pneumonia

5. Correction to: Deep learning reconstruction improves image quality of abdominal ultra-high-resolution CT

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