DERMA: A melanoma diagnosis platform based on collaborative multilabel analog reasoning

Ruben Nicolas; Albert Fornells; Elisabet Golobardes; Guiomar Corral; Susana Puig; Josep Malvehy

doi:10.1155/2014/351518

DERMA: A melanoma diagnosis platform based on collaborative multilabel analog reasoning

Ruben Nicolas, Albert Fornells, Elisabet Golobardes, Guiomar Corral, Susana Puig, Josep Malvehy

Producció científica: Article en revista indexada › Article › Avaluat per experts

2 Cites (Scopus)

Resum

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.

Idioma original	Anglès
Número d’article	351518
Revista	The Scientific World Journal
Volum	2014
DOIs	https://doi.org/10.1155/2014/351518
Estat de la publicació	Publicada - 2014

SDG de les Nacions Unides

Aquest resultat contribueix als següents objectius de desenvolupament sostenible.

Accés al document

10.1155/2014/351518

Altres arxius i enllaços

Link to publication in Scopus

Com citar-ho

@article{bd6c4326f5da47928b2b86f1922e6919,

title = "DERMA: A melanoma diagnosis platform based on collaborative multilabel analog reasoning",

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.",

author = "Ruben Nicolas and Albert Fornells and Elisabet Golobardes and Guiomar Corral and Susana Puig and Josep Malvehy",

year = "2014",

doi = "10.1155/2014/351518",

language = "English",

volume = "2014",

journal = "The Scientific World Journal",

issn = "1537-744X",

publisher = "Hindawi Limited",

}

TY - JOUR

T1 - DERMA

T2 - A melanoma diagnosis platform based on collaborative multilabel analog reasoning

AU - Nicolas, Ruben

AU - Fornells, Albert

AU - Golobardes, Elisabet

AU - Corral, Guiomar

AU - Puig, Susana

AU - Malvehy, Josep

PY - 2014

Y1 - 2014

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84893841878&partnerID=8YFLogxK

U2 - 10.1155/2014/351518

DO - 10.1155/2014/351518

M3 - Article

C2 - 24578629

AN - SCOPUS:84893841878

SN - 1537-744X

VL - 2014

JO - The Scientific World Journal

JF - The Scientific World Journal

M1 - 351518

ER -

DERMA: A melanoma diagnosis platform based on collaborative multilabel analog reasoning

Resum

SDG de les Nacions Unides

Accés al document

Altres arxius i enllaços

Fingerprint

Com citar-ho