Paper Info
Title
A New Color Feature Set For Computer Aided Diagnosis Of Skin Lesions
Abstract
The aim of this study is to develop and evaluate a new set of color features and their performance on the classification of skin lesions. The proposed system introduces new features based on 2-dimensional color histograms, an automated segmentation method using a fusion of thresholding methods, classification procedures and is designed to be used by dermatologists as a complete integrated dermatological analysis tool to improve the rate of correct diagnosis above 90%. Simulations are implemented to show the measured features as well as classification results. The outcomes showed that the CAD model discussed in this paper has an improved classification performance and is an objective diagnostic tool that can be used in medical practice.
Year
DOI
Venue
2012
10.1117/12.906796
IMAGE PROCESSING: ALGORITHMS AND SYSTEMS X AND PARALLEL PROCESSING FOR IMAGING APPLICATIONS II
Keywords
Field
DocType
Melanoma, Skin Cancer, Classification, Feature Extraction, Segmentation, Color, Histogram
CAD,Computer vision,Histogram,Skin lesion,Segmentation,Skin cancer,Computer-aided diagnosis,Feature extraction,Artificial intelligence,Thresholding,Physics
Conference
Volume
ISSN
Citations 
8295
0277-786X
2
PageRank 
References 
Authors
0.39
0
2
Name
Order
Citations
PageRank
isaac sanchez120.39
Sos Agaian26716.48