Comprehensive Analysis of Deep Learning Methods for COVID-19 Detection and Classification-Reference-Cited by-同舟云学术

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Comprehensive Analysis of Deep Learning Methods for COVID-19 Detection and Classification

Published:2023-11-16 Issue: Volume:1318 Page:1-8
ISSN:
Container-title:2023 Annual International Conference on Emerging Research Areas: International Conference on Intelligent Systems (AICERA/ICIS)
language:
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Author:

Prabha Bindhu¹,Divya S V²,Venkadesh P³

Affiliation:

1. Noorul Islam Centre For Higher Education, Kumarakovil,Dept. of Computer Applications,Kanyakumari,Tamil Nadu

2. V.S.B College of Engineering Technical Campus,Dept.of CSE,Coimbatore,Tamil Nadu

3. V.S.B College of Engineering Technical Campus,Dept. of AI & DS,Coimbatore,Tamil Nadu

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10419864/10419874/10420366.pdf?arnumber=10420366

Reference71 articles.

1. Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network

2. DeepCOVID-19: A model for identification of COVID-19 virus sequences with genomic signal processing and deep learning

3. Identification of Pathogenic Viruses Using Genomic Cepstral Coefficients with Radial Basis Function Neural Network

4. Signal Processing in Sequence Analysis: Advances in Eukaryotic Gene Prediction

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