Detection of pigment network in dermoscopy images using supervised machine learning and structural analysis-Reference-Cited by-同舟云学术

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

Published:2014-01 Issue: Volume:44 Page:144-157
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

García Arroyo Jose Luis,García Zapirain Begoña^ORCID

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference54 articles.

1. World Cancer Research Fund International, Cancer statistics—Worldwide, 2008, http://www.wcrf.org/cancer_statistics/world_cancer_statistics.php (Online accessed 10-Oct-2013).

2. Skin Cancer Foundation, Skin cancer facts, 2013, http://www.skincancer.org/Skin-Cancer-Facts/ (Online accessed 10-Oct-2013).

3. Dermoscopy report;Malvehy;J. Am. Acad. Dermatol.,2007

4. Current and emerging technologies in melanoma diagnosis;Psaty;Clin. Dermatol.,2009

5. The evolution of melanoma diagnosis;Rigel;CA,2010

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