Multi-Class Classification of Chest X-ray Images with Optimized Features-Reference-Cited by-同舟云学术

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Multi-Class Classification of Chest X-ray Images with Optimized Features

Published:2024-03-01 Issue: Volume:143150 Page:01-05
ISSN:
Container-title:2024 1st International Conference on Cognitive, Green and Ubiquitous Computing (IC-CGU)
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Author:

Sahoo Sasmita¹,Pani Prangya Paramita¹,Dora Chinmayee¹,Chakravarty Sujata¹

Affiliation:

1. CUTM,Dept. of CSE,Bhubaneswar,Odisha,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10530616/10530657/10530746.pdf?arnumber=10530746

Reference11 articles.

1. Can AI Help in Screening Viral and COVID-19 Pneumonia?

2. Exploring the effect of image enhancement techniques on COVID-19 detection using chest X-ray images

3. COVID-19 Imaging: What We Know Now and What Remains Unknown

4. Accuracy of Dual-Energy CT Virtual Unenhanced and Material-Specific Images: A Phantom Study

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

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