POSTER: Diagnosis of COVID-19 through Transfer Learning Techniques on CT Scans: A Comparison of Deep Learning Models
Author:
Affiliation:
1. Aligarh Muslim University,Department of Computer Engineering,Aligarh,India
2. Aligarh Muslim University,Department of Computer Science,Aligarh,India
3. College of Computer and Information Sciences, Prince Sultan University,Riyadh,Saudi Arabia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9842388/9842335/09842435.pdf?arnumber=9842435
Reference15 articles.
1. CovidSORT: Detection of Novel COVID-19 in Chest X-ray Images by Leveraging Deep Transfer Learning Models
2. Covid-ct-dataset: a ct scan dataset about covid-19;zhao;ArXiv Preprint,2020
3. Very deep convolutional networks for large-scale image recognition;simonyan;ArXiv Preprint,2014
4. Deep Residual Learning for Image Recognition
5. Rethinking the Inception Architecture for Computer Vision
Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Design and Analysis of a Deep Learning Ensemble Framework Model for the Detection of COVID-19 and Pneumonia Using Large-Scale CT Scan and X-ray Image Datasets;Bioengineering;2023-03-16
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