DocumentCode :
3723181
Title :
Melanoma Detection Using Delaunay Triangulation
Author :
A. Pennisi;D.D. Bloisi;D. Nardi;A.R. Giampetruzzi;C. Mondino;A. Facchiano
Author_Institution :
Dept. of Comput., Sapienza Univ. of Rome, Rome, Italy
fYear :
2015
Firstpage :
791
Lastpage :
798
Abstract :
The detection of malignant lesions in dermoscopic images by using automatic diagnostic tools can help in reducing mortality from melanoma. In this paper, we describe a fully-automatic algorithm for skin lesion segmentation in dermoscopic images. The proposed approach is highly accurate when dealing with benign lesions, while the detection accuracy significantly decreases when melanoma images are segmented. This particular behavior lead us to consider geometrical and color features extracted from the output of our algorithm for classifying melanoma images, achieving promising results.
Keywords :
"Lesions","Skin","Image segmentation","Image color analysis","Malignant tumors","Image edge detection","Databases"
Publisher :
ieee
Conference_Titel :
Tools with Artificial Intelligence (ICTAI), 2015 IEEE 27th International Conference on
ISSN :
1082-3409
Type :
conf
DOI :
10.1109/ICTAI.2015.117
Filename :
7372213
Link To Document :
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