Melanoma Detection in Dermoscopic Images using Color Features

Pathan, Sameena and Aggarwal, Vatsal and Prabhu, G K and Siddalingaswamy, PC (2019) Melanoma Detection in Dermoscopic Images using Color Features. Biomedical & Pharmacology Journal, 12 (1). pp. 107-115. ISSN 0974-6242

[img] PDF
6798.pdf - Published Version
Restricted to Registered users only

Download (669kB) | Request a copy


Color is considered to be a major characteristic feature that is used for distinguishing benign and malignant melanocytic lesions. Most of malignant melanomas are characterized by the presence of six suspicious colors inspired from the ABCD dermoscopic rule. The presence of these suspicious colors histopathologically indicates the presence of melanin in the deeper layers of the epidermis and dermis. The objective of the proposed work is to evaluate the role of color features, a set of fifteen color features have been extracted from the region of interest to determine the role of color in malignancy detection. Further, a set of ensemble classifiers with dynamic selection techniques are used for classification of the extracted features, yielding an average accuracy of 87.5% for classifying benign and malignant lesions

Item Type: Article
Uncontrolled Keywords: Benign lesions; Color; Dermoscopy; Ensemble Classifiers; Malignant lesions; Segmentation.
Subjects: Engineering > MIT Manipal > Computer Science and Engineering
Depositing User: MIT Library
Date Deposited: 09 Jul 2019 06:02
Last Modified: 09 Jul 2019 06:02

Actions (login required)

View Item View Item