Open AccessDetecting anomalous growth of skin lesion using threshold-based segmentation algorithm and Fuzzy K-Nearest Neighbor classifier
Author(s) -
S. Sivaraj,
R. Malmathanraj,
P. Palanisamy
Publication year - 2020
Publication title -
journal of cancer research and therapeutics/journal of cancer research and therapeutics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.475
H-Index - 39
eISSN - 0973-1482
pISSN - 1998-4138
DOI - 10.4103/jcrt.jcrt_306_17
Subject(s) - artificial intelligence , preprocessor , pattern recognition (psychology) , computer science , segmentation , feature extraction , skin cancer , classifier (uml) , k nearest neighbors algorithm , image segmentation , cancer , medicine
Skin cancer is a complex and life-threatening disease caused primarily by genetic instability and accumulation of multiple molecular alternations.