University of Oulu

M. Berrimi, S. Hamdi, R. Y. Cherif, A. Moussaoui, M. Oussalah and M. Chabane, "COVID-19 detection from Xray and CT scans using transfer learning," 2021 International Conference of Women in Data Science at Taif University (WiDSTaif ), 2021, pp. 1-6, doi: 10.1109/WiDSTaif52235.2021.9430229

COVID-19 detection from Xray and CT scans using transfer learning

Saved in:
Author: Berrimi, Mohamed1; Hamdi, Skander1; Yahia Cherif, Raoudha1;
Organizations: 1Dep. of Computer Science University of Ferhat Abbes Setif I Setif, Algeria
2Dep. of Computer Science and Engineering University of Oulu Oulu, Finland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 3 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2021100449271
Language: English
Published: Institute of Electrical and Electronics Engineers, 2021
Publish Date: 2021-10-04
Description:

Abstract

Since the novel coronavirus SARS-CoV-2 outbreak, intensive research has been conducted to find suitable tools for diagnosis and identifying infected people in order to take appropriate action. Chest imaging plays a significant role in this phase where CT and Xrays scans have proven to be effective in detecting COVID-19 within the lungs. In this research, we propose deep learning models using Transfer learning to detect COVID-19. Both X-ray and CT scans were considered to evaluate the proposed methods.

see all

ISBN: 978-1-6654-4948-9
ISBN Print: 978-1-6654-4949-6
Pages: 1 - 6
Article number: 9430229
DOI: 10.1109/WIDSTAIF52235.2021.9430229
OADOI: https://oadoi.org/10.1109/WIDSTAIF52235.2021.9430229
Host publication: 2021 International Conference of Women in Data Science at Taif University (WiDSTaif 2021) : Taif University, Taif, Saudi Arabia, March 30-31, 2021
Conference: International Conference of Women in Data Science at Taif University (WiDSTaif)
Type of Publication: A4 Article in conference proceedings
Field of Science: 113 Computer and information sciences
Subjects:
Copyright information: © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.