Image analysis model for skin disease detection: framework

Skin disease is the most common disease in the world. The diagnosis of the skin disease requires a high level of expertise and accuracy for dermatologist, so computer aided skin disease diagnosis model is proposed to provide more objective and reliable solution. Many researches were done to help det...

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Main Authors:	Haddad, Alaa, Hameed, Shihab Ahmed
Format:	Conference or Workshop Item
Language:	English English
Published:	Institute of Electrical and Electronics Engineers Inc. 2018
Subjects:	TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://irep.iium.edu.my/73102/ http://irep.iium.edu.my/73102/ http://irep.iium.edu.my/73102/ http://irep.iium.edu.my/73102/1/73102_Image%20Analysis%20Model%20For%20Skin%20Disease_complete_new.pdf http://irep.iium.edu.my/73102/2/73102_Image%20Analysis%20Model%20For%20Skin%20Disease_scopus.pdf

id	iium-73102
recordtype	eprints
spelling	iium-731022019-07-05T07:10:23Z http://irep.iium.edu.my/73102/ Image analysis model for skin disease detection: framework Haddad, Alaa Hameed, Shihab Ahmed TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering Skin disease is the most common disease in the world. The diagnosis of the skin disease requires a high level of expertise and accuracy for dermatologist, so computer aided skin disease diagnosis model is proposed to provide more objective and reliable solution. Many researches were done to help detect skin diseases like skin cancer and tumor skin. But the accurate recognition of the disease is extremely challenging due to the following reasons: low contrast between lesions and skin, visual similarity between Disease and non-Disease area, etc. This paper aims to detect skin disease from the skin image and to analyze this image by applying filter to remove noise or unwanted things, convert the image to grey to help in the processing and get the useful information. This help to give evidence for any type of skin disease and illustrate emergency orientation. Analysis result of this study can support doctor to help in initial diagnoses and to know the type of disease. That is compatible with skin and to avoid side effects. Institute of Electrical and Electronics Engineers Inc. 2018-11-16 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/73102/1/73102_Image%20Analysis%20Model%20For%20Skin%20Disease_complete_new.pdf application/pdf en http://irep.iium.edu.my/73102/2/73102_Image%20Analysis%20Model%20For%20Skin%20Disease_scopus.pdf Haddad, Alaa and Hameed, Shihab Ahmed (2018) Image analysis model for skin disease detection: framework. In: 7th International Conference on Computer and Communication Engineering, ICCCE 2018, 19 - 20 September 2018, International Islamic University Malaysia (IIUM), Gombak , Kuala Lumpur. https://ieeexplore.ieee.org/document/8539270 10.1109/ICCCE.2018.8539270
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering Haddad, Alaa Hameed, Shihab Ahmed Image analysis model for skin disease detection: framework
description	Skin disease is the most common disease in the world. The diagnosis of the skin disease requires a high level of expertise and accuracy for dermatologist, so computer aided skin disease diagnosis model is proposed to provide more objective and reliable solution. Many researches were done to help detect skin diseases like skin cancer and tumor skin. But the accurate recognition of the disease is extremely challenging due to the following reasons: low contrast between lesions and skin, visual similarity between Disease and non-Disease area, etc. This paper aims to detect skin disease from the skin image and to analyze this image by applying filter to remove noise or unwanted things, convert the image to grey to help in the processing and get the useful information. This help to give evidence for any type of skin disease and illustrate emergency orientation. Analysis result of this study can support doctor to help in initial diagnoses and to know the type of disease. That is compatible with skin and to avoid side effects.
format	Conference or Workshop Item
author	Haddad, Alaa Hameed, Shihab Ahmed
author_facet	Haddad, Alaa Hameed, Shihab Ahmed
author_sort	Haddad, Alaa
title	Image analysis model for skin disease detection: framework
title_short	Image analysis model for skin disease detection: framework
title_full	Image analysis model for skin disease detection: framework
title_fullStr	Image analysis model for skin disease detection: framework
title_full_unstemmed	Image analysis model for skin disease detection: framework
title_sort	image analysis model for skin disease detection: framework
publisher	Institute of Electrical and Electronics Engineers Inc.
publishDate	2018
url	http://irep.iium.edu.my/73102/ http://irep.iium.edu.my/73102/ http://irep.iium.edu.my/73102/ http://irep.iium.edu.my/73102/1/73102_Image%20Analysis%20Model%20For%20Skin%20Disease_complete_new.pdf http://irep.iium.edu.my/73102/2/73102_Image%20Analysis%20Model%20For%20Skin%20Disease_scopus.pdf
first_indexed	2023-09-18T21:43:40Z
last_indexed	2023-09-18T21:43:40Z
_version_	1777413306873544704

Image analysis model for skin disease detection: framework

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