Classification of Benign and Malignant Melanocytic Lesions: A CAD Tool

Pathan, Sameena and Lakshmi, Lasya and Siddalingaswamy, PC and Prabhu, G K (2017) Classification of Benign and Malignant Melanocytic Lesions: A CAD Tool. In: International Conference on Advances in Computing, Communications, and Informatics, 13/09/2017, MIT, Manipal.

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Abstract

Computer Aided Diagnostic (CAD) tools for differentiating benign and malignant lesions are primarily of great importance. Most of the CAD tools employ a large and complex feature set. In this paper, a CAD system for classifying benign and malignant lesions using optimal feature set is proposed. The optimal feature set included the prominent color, shape and texture features. The feature set used is inspired by the ABCD dermoscopic rule. The system is tested using PH2 annotated image database. The proposed system achieved an accuracy of 82%, sensitivity of 85.71% and specificity of 81.25%. These shape, color and texture features provide discriminative information about the lesion type. Additionally, an effective hair detection and exclusion algorithm using bottom-hat transform and exemplar based image inpainting is also proposed.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Benign lesions; Color; Dermoscopy; Hair detection; FCM; Malignant Lesions; Melanocytic Nevi; Shape; Texture
Subjects: Engineering > MIT Manipal > Biomedical
Engineering > MIT Manipal > Computer Science and Engineering
Depositing User: MIT Library
Date Deposited: 19 Dec 2017 04:26
Last Modified: 19 Dec 2017 04:26
URI: http://eprints.manipal.edu/id/eprint/150293

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