Skin Tumors Diagnosis Utilizing Case Based Reasoning and The Expert System

Skin cancer is considered as the most type of cancer that happens in humans. Three basic types of cancer occur which are basal cell carcinoma (BCC), Squamous cell carcinoma (SCC). Skin cancer leads to death if it is not diagnosed in an early stage. Fortunately, early diagnosis of skin cancer raises...

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Main Authors: Roza Fuad Majeed, Soran AB. M. Saeed, Dana Abdulmajeed Abdilkarim, Haval Mohammed Sidqi
Format: Article
Language:English
Published: Sulaimani Polytechnic University 2020-06-01
Series:Kurdistan Journal of Applied Research
Subjects:
Online Access:https://www.kjar.spu.edu.iq/index.php/kjar/article/view/426
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author Roza Fuad Majeed
Soran AB. M. Saeed
Dana Abdulmajeed Abdilkarim
Haval Mohammed Sidqi
author_facet Roza Fuad Majeed
Soran AB. M. Saeed
Dana Abdulmajeed Abdilkarim
Haval Mohammed Sidqi
author_sort Roza Fuad Majeed
collection DOAJ
description Skin cancer is considered as the most type of cancer that happens in humans. Three basic types of cancer occur which are basal cell carcinoma (BCC), Squamous cell carcinoma (SCC). Skin cancer leads to death if it is not diagnosed in an early stage. Fortunately, early diagnosis of skin cancer raises the survival rate of victims. Computer-aided has a great role to detect skin cancer which leads to saving human life. Based on that, this study proposes a computer-aided diagnosis (CAD) system that detects skin cancer using digital images, techniques of image processing, by using the case-based reasoning and expert system. The main goal for designing this system is to create a cheap, easy-to-use, and relatively accurate system for detecting skin cancer in an early stage to save human life, raises the survival rate, and decreases the cost of the dermoscopy test.
format Article
id doaj-art-d6b77c21caf94b508f85f26639fff5ce
institution Kabale University
issn 2411-7684
2411-7706
language English
publishDate 2020-06-01
publisher Sulaimani Polytechnic University
record_format Article
series Kurdistan Journal of Applied Research
spelling doaj-art-d6b77c21caf94b508f85f26639fff5ce2025-02-11T21:00:47ZengSulaimani Polytechnic UniversityKurdistan Journal of Applied Research2411-76842411-77062020-06-015110.24017/science.2020.1.10426Skin Tumors Diagnosis Utilizing Case Based Reasoning and The Expert SystemRoza Fuad Majeed0Soran AB. M. Saeed1Dana Abdulmajeed Abdilkarim2Haval Mohammed Sidqi3Information Technology Department, Technical College of Informatics, Sulaimani Polytechnic University, Sulaimani, IraqVice presidence of Scientific Affairs, Sulaimani Polytechnic University, Sulaimani, IraqMedical laboratory, Technical College of Health, Sulaimani Polytechnic University, Sulaimani, IraqDatabase Department, Computer Science Institute, Sulaimani Polytechnic University, Sulaimani, IraqSkin cancer is considered as the most type of cancer that happens in humans. Three basic types of cancer occur which are basal cell carcinoma (BCC), Squamous cell carcinoma (SCC). Skin cancer leads to death if it is not diagnosed in an early stage. Fortunately, early diagnosis of skin cancer raises the survival rate of victims. Computer-aided has a great role to detect skin cancer which leads to saving human life. Based on that, this study proposes a computer-aided diagnosis (CAD) system that detects skin cancer using digital images, techniques of image processing, by using the case-based reasoning and expert system. The main goal for designing this system is to create a cheap, easy-to-use, and relatively accurate system for detecting skin cancer in an early stage to save human life, raises the survival rate, and decreases the cost of the dermoscopy test. https://www.kjar.spu.edu.iq/index.php/kjar/article/view/426Keywords: Skin cancer, BCC, SCC, melanoma, CBR, expert system.
spellingShingle Roza Fuad Majeed
Soran AB. M. Saeed
Dana Abdulmajeed Abdilkarim
Haval Mohammed Sidqi
Skin Tumors Diagnosis Utilizing Case Based Reasoning and The Expert System
Kurdistan Journal of Applied Research
Keywords: Skin cancer, BCC, SCC, melanoma, CBR, expert system.
title Skin Tumors Diagnosis Utilizing Case Based Reasoning and The Expert System
title_full Skin Tumors Diagnosis Utilizing Case Based Reasoning and The Expert System
title_fullStr Skin Tumors Diagnosis Utilizing Case Based Reasoning and The Expert System
title_full_unstemmed Skin Tumors Diagnosis Utilizing Case Based Reasoning and The Expert System
title_short Skin Tumors Diagnosis Utilizing Case Based Reasoning and The Expert System
title_sort skin tumors diagnosis utilizing case based reasoning and the expert system
topic Keywords: Skin cancer, BCC, SCC, melanoma, CBR, expert system.
url https://www.kjar.spu.edu.iq/index.php/kjar/article/view/426
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AT danaabdulmajeedabdilkarim skintumorsdiagnosisutilizingcasebasedreasoningandtheexpertsystem
AT havalmohammedsidqi skintumorsdiagnosisutilizingcasebasedreasoningandtheexpertsystem