Effect of Image Enhancement Techniques on COVID-19 Detection Using Deep Learning

Please use this identifier to cite or link to this item: https://dspace.univ-ouargla.dz/jspui/handle/123456789/30817

Full metadata record

DC Field	Value	Language
dc.contributor.advisor	Lati, Abdelhai	-
dc.contributor.advisor	BENCHABANE, Abderrazak	-
dc.contributor.author	SANDALI, Salim	-
dc.contributor.author	GAGUI, Achraf Abdelghani	-
dc.date.accessioned	2022-10-09T09:36:28Z	-
dc.date.available	2022-10-09T09:36:28Z	-
dc.date.issued	2022	-
dc.identifier.uri	https://dspace.univ-ouargla.dz/jspui/handle/123456789/30817	-
dc.description	Automatic and Systems	en_US
dc.description.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.	en_US
dc.language.iso	en	en_US
dc.publisher	UNIVERSITY OF KASDI MERBAH OUARGLA	en_US
dc.subject	Corona	en_US
dc.subject	detection	en_US
dc.subject	Artificial Intelligence	en_US
dc.subject	enhancement	en_US
dc.title	Effect of Image Enhancement Techniques on COVID-19 Detection Using Deep Learning	en_US
dc.type	Thesis	en_US
Appears in Collections:	Département d'Electronique et des Télécommunications - Master

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Salim SANDALI.pdf	Automatic and Systems	3,42 MB	Adobe PDF	View/Open

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