Detecting anomalous growth of skin lesion using threshold-based segmentation algorithm and Fuzzy K-Nearest Neighbor classifier.

Journal: Journal of cancer research and therapeutics

Published Date: Jan 1, 2020

Abstract

CONTEXT: Skin cancer is a complex and life-threatening disease caused primarily by genetic instability and accumulation of multiple molecular alternations.

Authors

S Sivaraj

Department of Electronics and Communication Engineering, National Institute of Technology, Tiruchirappalli, Tamil Nadu, India.
R Malmathanraj

Department of Electronics and Communication Engineering, National Institute of Technology, Tiruchirappalli, Tamil Nadu, India.
P Palanisamy

Department of Electronics and Communication Engineering, National Institute of Technology, Tiruchirappalli, Tamil Nadu, India.

Keywords

Algorithms Cluster Analysis Dermoscopy Fuzzy Logic Humans Image Processing, Computer-Assisted Melanoma Skin Neoplasms Support Vector Machine

External Resources

View on PubMed Access via DOI PubMed (32362608)

Detecting anomalous growth of skin lesion using threshold-based segmentation algorithm and Fuzzy K-Nearest Neighbor classifier.

Abstract

Authors

Keywords

External Resources

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