WN‐based approach to melanoma diagnosis from dermoscopy images

Author:

Sadri Amir Reza1,Azarianpour Sepideh2,Zekri Maryam1,Emre Celebi Mehmet3,Sadri Saeid1

Affiliation:

1. Department of Electrical and Computer EngineeringIsfahan University of TechnologyIsfahanIran

2. Department of Electrical EngineeringSharif University of TechnologyTehranIran

3. Department of Computer ScienceUniversity of Central ArkansasConwaynARUSA

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference28 articles.

1. Classification of malignant melanoma and benign skin lesions: implementation of automatic ABCD rule

2. 2011 Proc. Eighth Int. Symp. on Biomedical Imaging (ISBI.11) Electronic Proc. L. Xiang B. Aldridge R. Fisher Estimating the ground truth from multiple individual segmentations incorporating prior pattern analysis with application to skin lesion segmentation 1438 1441

3. 2015 Proc. Int. Conf. Quality Control by Artificial Vision Le Creusot France V. Gonzalez‐Castro J. Debayle Y. Wazaefi Automatic classification of skin lesions using color mathematical morphology‐based texture descriptors

4. Segmentation of Dermoscopy Images Using Wavelet Networks

5. Generalizing Common Tasks in Automated Skin Lesion Diagnosis

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