S.I. Sajithra, A.G. Greeshma, V.K. Subhashini, PPG Institute of Technology, Tamilnadu, India.
DOI : 01.0401/ijaict.2014.01.06
International Journal of Advanced Information and Communication Technology
Received On : September 08, 2014
Revised On : October 10, 2014
Accepted On : November 05, 2014
Published On : December 05, 2014
Volume 01, Issue 08
Pages : 173-177
Abstract
Dermoscopic images have great potential in the early diagnosis of malignant melanoma, but their interpretation is time consuming and subjective, even for trained dermatologists. The Fuzzy clustering techniques are used for segmentation of lesions are Fuzzy C Means Algorithm (FCM), Spatially Coherent Fuzzy Clustering Algorithm. The segmented images are compared with the ground truth image using various parameters such as False Positive Error (FPE), False Negative Error (FNE), Coefficient of similarity, Spatial overlap and their performance is evaluated.
Keywords
Fuzzy C Means, Spatially Coherent Fuzzy Clustering Algorithm, FPE, FNE, Coefficient of similarity, Spatial overlaps.
Cite this article
S.I. Sajithra, A.G. Greeshma, “Clinical Diagnosis of Malignant Melanoma Using Spatially Coherent Fuzzy Clustering Technique ” INTERNATIONAL JOURNAL OF ADVANCED INFORMATION AND COMMUNICATION TECHNOLOGY, pp.173-177, December 05, 2014.
Copyright
© 2014 S.I. Sajithra, A.G. Greeshma. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.