Using handpicked features in conjunction with ResNet-50 for improved detection of COVID-19 from chest X-ray images-Reference-Cited by-同舟云学术

Using handpicked features in conjunction with ResNet-50 for improved detection of COVID-19 from chest X-ray images

Published:2021-04 Issue: Volume:145 Page:110749
ISSN:0960-0779
Container-title:Chaos, Solitons & Fractals
language:en
Short-container-title:Chaos, Solitons & Fractals

Author:

Rajpal Sheetal,Lakhyani Navin,Singh Ayush Kumar,Kohli Rishav^ORCID,Kumar Naveen

Publisher

Elsevier BV

Subject

General Mathematics,General Physics and Astronomy,Statistical and Nonlinear Physics,Applied Mathematics

Reference48 articles.

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4. COVID-Classifier: An automated machine learning model to assist in the diagnosis of COVID-19 infection in chest x-ray images;Khuzani;medRxiv,2020

5. Rajpal S, Kumar N, Rajpal A. Cov-elm classifier: An extreme learning machine based identification of covid-19 using chest-ray images, 2020. arXiv preprint arXiv:200708637.

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