Modeling a deep transfer learning framework for the classification of COVID-19 radiology dataset

Modeling a deep transfer learning framework for the classification of COVID-19 radiology dataset

Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-Coronavirus-2 or SARS-CoV-2), which came into existence in 2019, is a viral pandemic that caused coronavirus disease 2019 (COVID-19) illnesses and death. Research showed that relentless efforts had been made to improve key performance indicators...

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Bibliographic Details
Main Authors: Michael Adebisi Fayemiwo, Toluwase Ayobami Olowookere, Samson Afolabi Arekete, Adewale Opeoluwa Ogunde, Mba Obasi Odim, Bosede Oyenike Oguntunde, Oluwabunmi Omobolanle Olaniyan, Theresa Omolayo Ojewumi, Idowu Sunday Oyetade, Ademola Adegoke Aremu, Aderonke Anthonia Kayode
Format: Article
Language:English
Published: PeerJ Inc. 2021-08-01
Series:PeerJ Computer Science
Subjects:
Convolutional neural networks
Coronavirus
COVID-19 test results
Deep transfer learning
Machine learning
VGG-16
Online Access:https://peerj.com/articles/cs-614.pdf

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https://peerj.com/articles/cs-614.pdf

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