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

Authors

Salam Shuleenda Devi
Rabul Hussain Laskar
Ngangbam Herojit Singh

DOI

10.9781/ijimai.2020.01.001

Abstract

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.

Source Publication

International Journal of Interactive Multimedia and Artificial Intelligence

Recommended Citation

Devi, Salam Shuleenda; Laskar, Rabul Hussain; and Singh, Ngangbam Herojit (2020) "Fuzzy C-Means Clustering with Histogram based Cluster Selection for Skin Lesion Segmentation using Non-Dermoscopic Images," International Journal of Interactive Multimedia and Artificial Intelligence: Vol. 6: Iss. 1, Article 7.
DOI: 10.9781/ijimai.2020.01.001
Available at: https://ijimai.researchcommons.org/ijimai/vol6/iss1/7