Segmentation and Classification of Skin Lesions for Disease Diagnosis-Reference-Cited by-同舟云学术

Segmentation and Classification of Skin Lesions for Disease Diagnosis

Published:2015 Issue: Volume:45 Page:76-85
ISSN:1877-0509
Container-title:Procedia Computer Science
language:en
Short-container-title:Procedia Computer Science

Author:

Sumithra R.,Suhil Mahamad,Guru D.S.

Publisher

Elsevier BV

Subject

General Engineering

Reference14 articles.

1. George Zouridakis in 2008, Automatic segmentation of skin lesions images using evolution strategies from United States. Science Direct;Xiaojing Yuan;Biomedical signal processing and control,2008

2. in 2003, Application of region- based segmentation and network edge detection to skin lesions from Nottingham NG7 2RD;Rajab;UK. Computerized Mediacl imaging and Graphics,2004

3. ElgamalInstitute of Hajii and umra, UmAlquraUni.Saudii Arabia. Automatic skin cancer images classification;Mahmoud;(IJACSA) International Journal of Advanced Computer Science and Applications,2013

4. Mariam A. Sheha Cairo University, Mai S. Mabrouk MUST University, and AmrSharawy Cairo University. Automatic Detection of Melanoma Skin Cancer using Texture Analysis, International Journal of Computer Applications, March 2012 (0975-8887) Volume 42– No.20.

5. Aswin.R.B, J. Abdul Jaleel, SibiSalim Implementation of ANN Classifier using MATLAB for Skin Cancer Detection. International Conference on Mobility in Computing- ICMIC13, Organized by Mar Baselios College of Engineering and Technology during December 17-18, 2013at Trivandrum, Kerala, India, pg.87-94.

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