Fusion of structural and textural features for melanoma recognition

Author:

Adjed Faouzi12,Safdar Gardezi Syed Jamal2,Ababsa Fakhreddine1,Faye Ibrahima2,Chandra Dass Sarat2

Affiliation:

1. Laboratoire IBISC EA 4526Université D'Evry Val d'Essonne91020EvryFrance

2. Center for Intelligent Signals and Imaging Research, Department of Fundamental and Applied SciencesUniversity Tecknologi PETRONASBandar Seri Iskandar32610Malaysia

Publisher

Institution of Engineering and Technology (IET)

Subject

Computer Vision and Pattern Recognition,Software

Reference51 articles.

1. World Health Organization: ‘How common is skin cancer?’ 2015. Available at http://www.who.int/uv/faq/skincancer/en/index1.html accessed on 18 August 2016

2. ©Les cancer en France en 2013: ‘Collection état des lieux et des connaissances ouvrage collectif édité par l'inca’ January2014. Available athttp://www.e‐cancer.fr/Expertises‐et‐publications/Catalogue‐des‐publications/Les‐cancers‐en‐France‐Edition‐2013

3. Fundation S.C.: ‘Skin cancer information’ 2016. Available at http://www.skincancer.org/skin‐cancer‐information accessed on 20 August 2016

4. Detection of pigment network in dermoscopy images using supervised machine learning and structural analysis

5. Cancer Research UK: ‘Treating skin cancer’ 2016. Available athttp://www.cancerresearchuk.org/about‐cancer/type/skin‐cancer/treatment/ accessed on 14 October 2016

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