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DERMA: A Melanoma Diagnosis Platform Based on Collaborative Multilabel Analog Reasoning
Joint Authors
Nicolas, Ruben
Fornells, Albert
Golobardes, Elisabet
Corral, Guiomar
Puig, Susana
Malvehy, Josep
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-01-21
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
The number of melanoma cancer-related death has increased over the last few years due to the new solar habits.
Early diagnosis has become the best prevention method.
This work presents a melanoma diagnosis architecture based on the collaboration of several multilabel case-based reasoning subsystems called DERMA.
The system has to face up several challenges that include data characterization, pattern matching, reliable diagnosis, and self-explanation capabilities.
Experiments using subsystems specialized in confocal and dermoscopy images have provided promising results for helping experts to assess melanoma diagnosis.
American Psychological Association (APA)
Nicolas, Ruben& Fornells, Albert& Golobardes, Elisabet& Corral, Guiomar& Puig, Susana& Malvehy, Josep. 2014. DERMA: A Melanoma Diagnosis Platform Based on Collaborative Multilabel Analog Reasoning. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-1049292
Modern Language Association (MLA)
Nicolas, Ruben…[et al.]. DERMA: A Melanoma Diagnosis Platform Based on Collaborative Multilabel Analog Reasoning. The Scientific World Journal No. 2014 (2014), pp.1-11.
https://search.emarefa.net/detail/BIM-1049292
American Medical Association (AMA)
Nicolas, Ruben& Fornells, Albert& Golobardes, Elisabet& Corral, Guiomar& Puig, Susana& Malvehy, Josep. DERMA: A Melanoma Diagnosis Platform Based on Collaborative Multilabel Analog Reasoning. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-1049292
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1049292