Melanoma Detection in Dermoscopic Images using Color Features

Sameena Pathan, Vatsal Aggarwal, K. Gopalakrishna Prabhu, P. C. Siddalingaswamy

Research output: Contribution to journalArticlepeer-review

16 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)107-115
Number of pages9
JournalBiomedical and Pharmacology Journal
Issue number1
Publication statusPublished - 01-03-2019

All Science Journal Classification (ASJC) codes

  • Pharmacology


Dive into the research topics of 'Melanoma Detection in Dermoscopic Images using Color Features'. Together they form a unique fingerprint.

Cite this