Detection & Diagnosis of COVID-19 from CXR Images Through VGG19 Transfer Learning Model-Reference-Cited by-同舟云学术

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Detection & Diagnosis of COVID-19 from CXR Images Through VGG19 Transfer Learning Model

Published:2023-11-24 Issue: Volume: Page:
ISSN:
Container-title:2023 2nd International Conference on Futuristic Technologies (INCOFT)
language:
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Author:

Pillai Rudresh¹,Sharma Neha¹,Chauhan Rahul²,Verma Garima³,Gupta Rupesh¹

Affiliation:

1. Chitkara University Institute of Engineering & Technology, Chitkara University,Rajpura,Punjab,India

2. Computer Science and Engineering, Graphic Era Hill University,Dehradun,Uttarakhand,India

3. Computer Science & Engineering, Graphic Era Deemed to be University,Dehradun,Uttarakhand,India,248002

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10424959/10424987/10425343.pdf?arnumber=10425343

Reference15 articles.

1. COVID-19: immunopathogenesis and Immunotherapeutics

2. Role of deep learning in early detection of COVID-19: Scoping review

3. Extraction of Facial Features using an Efficient Convolution Siamese Network on Customized Dataset

4. An Enhanced Transfer Learning Based Classification for Diagnosis of Skin Cancer

5. Confusion Matrix: Machine Learning;Liang;PAC,2022

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1. From Pixels to Taxonomy: Advanced Insect Species Classification with EfficientNetB3 Transfer Learning;2024 2nd International Conference on Sustainable Computing and Smart Systems (ICSCSS);2024-07-10

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