A Dermoscopic Inspired System for Localization and Malignancy Classification of Melanocytic Lesions

Pathan, Sameena and Ali, Tanweer and Vincent, Shweta and Nanjappa, Yashwanth and David, Rajiv Mohan and Kumar, Om Prakash (2022) A Dermoscopic Inspired System for Localization and Malignancy Classification of Melanocytic Lesions. Applied Science Basel, 12 (9). ISSN 2076-3417

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This study aims at developing a clinically oriented automated diagnostic tool for distin�guishing malignant melanocytic lesions from benign melanocytic nevi in diverse image databases. Due to the presence of artifacts, smooth lesion boundaries, and subtlety in diagnostic features, the accuracy of such systems gets hampered. Thus, the proposed framework improves the accuracy of melanoma detection by combining the clinical aspects of dermoscopy. Two methods have been adopted for achieving the aforementioned objective. Firstly, artifact removal and lesion localization are performed. In the second step, various clinically significant features such as shape, color, tex�ture, and pigment network are detected. Features are further reduced by checking their individual significance (i.e., hypothesis testing). These reduced feature vectors are then classified using SVM classifier. Features specific to the domain have been used for this design as opposed to features of the abstract images. The domain knowledge of an expert gets enhanced by this methodology. The proposed approach is implemented on a multi-source dataset (PH2 + ISBI 2016 and 2017) of 515 annotated images, thereby resulting in sensitivity, specificity and accuracy of 83.8%, 88.3%, and 86%, respectively. The experimental results are promising, and can be applied to detect asymmetry, pigment network, colors, and texture of the lesions

Item Type: Article
Uncontrolled Keywords: color; classification; dermoscopy; hair shafts; melanoma; segmentation; shape; texture; pigment network
Subjects: Engineering > MIT Manipal > Electronics and Communication
Engineering > MIT Manipal > Information and Communication Technology
Engineering > MIT Manipal > Mechatronics
Depositing User: MIT Library
Date Deposited: 23 Jun 2022 05:19
Last Modified: 23 Jun 2022 05:19
URI: http://eprints.manipal.edu/id/eprint/158846

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