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Title |
Smart-Dermo: A computerize tool for classification of skin cancer using smartphone through Image Processing and Fuzzy logic |
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Author |
Qaisar Abbas† |
| Citation |
Vol. 20 No. 8 pp. 180-188 |
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Abstract |
A smartphone-based android application is developed to classify skin lesions using dermoscopic images (Smart-Dermo) in this paper for helping poor person in remote areas due to high expense of pre-screening process. In practice, many studies of health service outcomes found teledermatology reduced waiting times and could result in earlier assessment and treatment. Accordingly, the Smart-Demo application is very helpful to diagnose the skin cancer to detect effective features and classify them by fuzzy-logic derived from artificial intelligence platform. The Smart-Demo helps a patient to diagnosis the skin cancer once in a week to keep track his medical state. In the traditional way, diagnose of skin cancer is very expensive, time-consuming and tedious task. Therefore, the main objective of this paper is to develop an android-based Smart-Demo application that detects the type of skin cancer like melanoma versus non-melanoma and save the time for both the patients and the clinical experts. To develop Smart-Demo application, the image processing techniques, and the fuzzy logic are used to solve this problem through ABCD clinical rule for differentiation among skin tumors. The experimental results on 2200 dermoscopic images indicate that the Smart-Demo application achieved high classification accuracy 92% to detect melanoma in a fast and effective way compare to state-of-the-art methods. As a result, this Smart-Demo application may assist dermatologists to better recognize pigmented skin lesions (PSLs). |
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Keywords |
Skin cancer, digital dermoscopy, malignant melanoma, image processing, fuzzy logic, android application |
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