Classification of skin cancer images using local binary pattern and SVM classifier-Reference-Cited by-同舟云学术

Classification of skin cancer images using local binary pattern and SVM classifier

Published:2016 Issue: Volume: Page:
ISSN:0094-243X
Container-title:AIP Conference Proceedings
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Author:

Adjed Faouzi,Faye Ibrahima,Ababsa Fakhreddine,Gardezi Syed Jamal,Dass Sarat Chandra

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Reference16 articles.

1. World Health Organization, “How common is skin cancer?” 2015, [Online; accessed on 2016/01/02]. [Online]. Available: http://www.who.int/uv/faq/skincancer/en/index1.html

2. Computerized analysis of pigmented skin lesions: A review

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

4. A. Huang, W.-Y. Chang, M.-Y. Liu, and G.-S. Chen, “Capillary detection for clinical images of basal cell carcinoma,” in IEEE, 2012.

5. Toward a combined tool to assist dermatologists in melanoma detection from dermoscopic images of pigmented skin lesions

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