Fuzzy C-Means Clustering with Histogram based Cluster Selection for Skin Lesion Segmentation using Non-Dermoscopic Images

Fuzzy C-Means Clustering with Histogram based Cluster Selection for Skin Lesion Segmentation using Non-Dermoscopic Images

Purpose – Pre-screening of skin lesion for malignancy is highly demanded as melanoma being a life-threatening skin cancer due to unpaired DNA damage. In this paper, lesion segmentation based on Fuzzy C-Means clustering using non-dermoscopic images has been proposed. Design/methodology/approach – The...

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Bibliographic Details
Main Authors: Salam Shuleenda Devi, Ngangbam Herojit Singh, Rabul Hussain Laskar
Format: Article
Language:English
Published: Universidad Internacional de La Rioja (UNIR) 2020-03-01
Series:International Journal of Interactive Multimedia and Artificial Intelligence
Subjects:
clustering
fuzzy
image segmentation
medical images
melanoma
Online Access:http://www.ijimai.org/journal/node/3792

Internet

http://www.ijimai.org/journal/node/3792

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