Diagnosis of Acute Respiratory Syndromes from X-Rays using Customised CNN Architecture-Reference-Cited by-同舟云学术

Diagnosis of Acute Respiratory Syndromes from X-Rays using Customised CNN Architecture

Published:2022-09-13 Issue: Volume: Page:
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Container-title:2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)
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Author:

S Palaniappan¹,Sai Sripriya S. Varshaa²,Lalitha Pranathi Amalladinna Rama³,Muthulakshmi M.²

Affiliation:

1. Amrita School of Computing, Amrita Vishwa Vidyapeetham,Department of Computer Science Engineering,Chennai,India

2. School of Engineering, Amrita Vishwa Vidyapeetham,Department of Electronics and Communication Engineering Amrita,Chennai,India

3. Amrita School of Engineering, Amrita Vishwa Vidyapeetham,Department of Electrical and Electronics Engineering,Chennai,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9936688/9936734/09936750.pdf?arnumber=9936750

Reference16 articles.

1. Enhancing Automated COVID-19 Chest X-ray Diagnosis by Image-to-Image GAN Translation

2. Forecasting COVID-19 via Registration Slips of Patients using ResNet-101 and Performance Analysis and Comparison of Prediction for COVID-19 using Faster R-CNN, Mask R-CNN, and ResNet-50

3. On the Early Detection of COVID19 using Advanced Machine Learning Techniques: A Review

4. Prediction of Covid-19 with supervised regression algorithm through minimum variance unbiased estimator;manikandan;International Journal of Current Research and Review,2021

5. Prediction of COVID-19 Cases Using CNN with X-rays

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