Performance Analysis of Machine Learning Algorithms for COVID-19 Detection-Reference-Cited by-同舟云学术

Performance Analysis of Machine Learning Algorithms for COVID-19 Detection

Published:2022-12-08 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE Bombay Section Signature Conference (IBSSC)
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Author:

Thakare Anuradha D.¹,Gulhane Pranjali G.¹,Chaudhari Shruti M.¹,Baradkar Hemant²

Affiliation:

1. Pimpri Chinchwad College of Engineering,Department of Computer Engineering,Pune,India

2. Jagdamba College of Engineering and Technology,Department of Electronics and Telecommunication,Yavatmal,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10037242/10037259/10037516.pdf?arnumber=10037516

Reference21 articles.

1. Computer-Aided Diagnosis system for diagnosis of pulmonary emphysema using bio-inspired algorithms

2. Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans

3. C+EffxNet: A novel hybrid approach for COVID-19 diagnosis on CT images based on CBAM and EfficientNet

4. Automatic COVID-19 lung infected region segmentation and measurement using CT-scans images;oulefki;Pattern Recognition,2021

5. Introducing a Hybrid Swarm Intelligence Based Technique for Document Clustering;anuradha;International Journal of Engineering Research and Applications (IJERA),2012

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