Please use this identifier to cite or link to this item: https://dspace.univ-ouargla.dz/jspui/handle/123456789/30817
Title: Effect of Image Enhancement Techniques on COVID-19 Detection Using Deep Learning
Authors: Lati, Abdelhai
BENCHABANE, Abderrazak
SANDALI, Salim
GAGUI, Achraf Abdelghani
Keywords: Corona
detection
Artificial Intelligence
enhancement
Issue Date: 2022
Publisher: UNIVERSITY OF KASDI MERBAH OUARGLA
Abstract: Corona virus is considered one of the most dangerous and fastest growing diseases today due to the rapid spread of the infection and the large number of victims. Referring to direct diagnostic methods which have become ineffective due to the severity of the virus, it is necessary to develop methods that lead to rapid and accurate diagnosis. In this work, we propose to improve X-ray images by different enhancement techniques to increase the performance of automatic diagnosis using deep learning.
Description: Automatic and Systems
URI: https://dspace.univ-ouargla.dz/jspui/handle/123456789/30817
Appears in Collections:Département d'Electronique et des Télécommunications - Master

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