Please use this identifier to cite or link to this item:
http://hdl.handle.net/2445/120095
Title: | DERMA: A melanoma diagnosis platform based on collaborative multilabel analog reasoning |
Author: | Nicolas, Ruben Fornells, Albert Golobardes, Elisabet Corral, Guiomar Puig i Sardà, Susana Malvehy, J. (Josep) |
Keywords: | Melanoma Diagnòstic Microscòpia mèdica Mortalitat Càncer de pell Melanoma Diagnosis Medical microscopy Mortality Skin cancer |
Issue Date: | 21-Jan-2014 |
Publisher: | Hindawi Publishing Corporation |
Abstract: | 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. |
Note: | Reproducció del document publicat a: https://doi.org/10.1155/2014/351518 |
It is part of: | Scientific World Journal, 2014, vol. 2014, p. 351518 |
URI: | http://hdl.handle.net/2445/120095 |
Related resource: | https://doi.org/10.1155/2014/351518 |
ISSN: | 1537-744X |
Appears in Collections: | Articles publicats en revistes (Medicina) |
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File | Description | Size | Format | |
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636691.pdf | 1.72 MB | Adobe PDF | View/Open |
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