m-Skin Doctor: A Mobile Enabled System for Early Melanoma Skin Cancer Detection Using Support Vector Machine

Taufeeq, Muhammad Aleem and Hameed, Nazia and Anjum, Adeel and Hameed, Fozia (2016) m-Skin Doctor: A Mobile Enabled System for Early Melanoma Skin Cancer Detection Using Support Vector Machine. ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 181. pp. 468-475.

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Abstract

Early detection of skin cancer is very important as it is one of the dangerous form of cancer spreading vigorously among humans. With the advancement of mobile technology; mobile enabled skin cancer detection systems are really demanding but currently very few real time skin cancer detection systems are available for general public and mostly available are the paid. In this paper authors proposed a real time mobile enabled health care system for the detection of skin melanoma for general users. Proposed system is developed using computer vision and image processing techniques. Noise is removed by applying the Gaussian filter. For segmentation Grab Cut algorithm is used. Support Vector Machine (SVM) is applied as a classification technique on the texture features like area, perimeter, eccentricity etc. The sensitivity and specificity rate achieved by the m-Skin Doctor is 80% and 75% respectively. The average time consumed by the application for classifying one image is 14938 ms

Item Type: Article
Subjects: Computer Sciences
Divisions: Female College of Sciences and Arts - Khamis Mushyait > Computer Sciences
Depositing User: fozia Hameed
Date Deposited: 13 Jun 2017 09:13
Last Modified: 13 Jun 2017 09:13
URI: http://eprints.kku.edu.sa/id/eprint/437

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