Skin Tumors Diagnosis Utilizing Case Based Reasoning and The Expert System

https://doi.org/10.24017/science.2020.1.10

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Authors

  • Roza Fuad Majeed Information Technology Department, Technical College of Informatics, Sulaimani Polytechnic University, Sulaimani, Iraq
  • Soran AB. M. Saeed Vice presidence of Scientific Affairs, Sulaimani Polytechnic University, Sulaimani, Iraq
  • Dana Abdulmajeed Abdilkarim Medical laboratory, Technical College of Health, Sulaimani Polytechnic University, Sulaimani, Iraq
  • Haval Mohammed Sidqi Database Department, Computer Science Institute, Sulaimani Polytechnic University, Sulaimani, Iraq

Abstract

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.

Keywords:

Keywords: Skin cancer, BCC, SCC, melanoma, CBR, expert system.

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How to Cite

[1]
R. F. Majeed, S. AB. M. Saeed, D. Abdulmajeed Abdilkarim, and H. Mohammed Sidqi, “Skin Tumors Diagnosis Utilizing Case Based Reasoning and The Expert System”, KJAR, vol. 5, no. 1, pp. 96–114, Jun. 2020, doi: 10.24017/science.2020.1.10.

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Published

08-06-2020

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Pure and Applied Science