Using ensemble-based reasoning to help experts in melanoma diagnosis

Ruben Nicolas; Elisabet Golobardes; Albert Fornells; Sonia Segura; Susana Puig; Cristina Carrera; Joseph Palou; Josep Malvehy

doi:10.3233/978-1-58603-925-7-178

Using ensemble-based reasoning to help experts in melanoma diagnosis

Ruben Nicolas^*
, Elisabet Golobardes
, Albert Fornells
, Sonia Segura
, Susana Puig
, Cristina Carrera
, Joseph Palou
, Josep Malvehy

^*Autor corresponent d’aquest treball

Producció científica: Capítol de llibre › Contribució a congrés/conferència › Avaluat per experts

3 Cites (Scopus)

Resum

New habits in solar exposure have caused an important increase of melanoma cancer during the last few years. However, recent studies demonstrate that early diagnosis drastically improves the treatment of this illness. This work presents a platform called MEDIBE that helps experts to diagnose melanoma. MEDIBE is an ensemble-based reasoning system that uses two of the most important non-invasive image techniques: Reflectance Confocal Microscopy and Dermatoscopy. The combination of both image source improves the reliability of diagnosis.

Idioma original	Anglès
Títol de la publicació	Artificial Intelligence Research and Development. Proceedings of the 11th International Conference of the Catalan Association for Artificial Intelligence
Editor	IOS Press
Pàgines	178-185
Nombre de pàgines	8
Edició	1
ISBN (imprès)	9781586039257
DOIs	https://doi.org/10.3233/978-1-58603-925-7-178
Estat de la publicació	Publicada - 2008

Sèrie de publicacions

Nom	Frontiers in Artificial Intelligence and Applications
Nombre	1
Volum	184
ISSN (imprès)	0922-6389

SDG de les Nacions Unides

Aquest resultat contribueix als següents objectius de desenvolupament sostenible.

ODS 3 Salut i benestar

Accés al document

10.3233/978-1-58603-925-7-178

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Com citar-ho

Nicolas, R., Golobardes, E., Fornells, A., Segura, S., Puig, S., Carrera, C., Palou, J., & Malvehy, J. (2008). Using ensemble-based reasoning to help experts in melanoma diagnosis. In Artificial Intelligence Research and Development. Proceedings of the 11th International Conference of the Catalan Association for Artificial Intelligence (1 ed., pàg. 178-185). (Frontiers in Artificial Intelligence and Applications; Vol. 184, Núm. 1). IOS Press. https://doi.org/10.3233/978-1-58603-925-7-178

Nicolas, Ruben ; Golobardes, Elisabet ; Fornells, Albert et al. / Using ensemble-based reasoning to help experts in melanoma diagnosis. Artificial Intelligence Research and Development. Proceedings of the 11th International Conference of the Catalan Association for Artificial Intelligence. 1. ed. IOS Press, 2008. pàg. 178-185 (Frontiers in Artificial Intelligence and Applications; 1).

@inproceedings{ab807eb44fa94da59c1b8fccd397e983,

title = "Using ensemble-based reasoning to help experts in melanoma diagnosis",

abstract = "New habits in solar exposure have caused an important increase of melanoma cancer during the last few years. However, recent studies demonstrate that early diagnosis drastically improves the treatment of this illness. This work presents a platform called MEDIBE that helps experts to diagnose melanoma. MEDIBE is an ensemble-based reasoning system that uses two of the most important non-invasive image techniques: Reflectance Confocal Microscopy and Dermatoscopy. The combination of both image source improves the reliability of diagnosis.",

keywords = "Artificial Intelligence in Medical Applications, Basal Cell Carcinoma, Case-Based Reasoning, Dermatoscopy, Ensemble Methods, Melanoma, Reflectance Confocal Microscopy",

author = "Ruben Nicolas and Elisabet Golobardes and Albert Fornells and Sonia Segura and Susana Puig and Cristina Carrera and Joseph Palou and Josep Malvehy",

year = "2008",

doi = "10.3233/978-1-58603-925-7-178",

language = "English",

isbn = "9781586039257",

series = "Frontiers in Artificial Intelligence and Applications",

publisher = "IOS Press",

number = "1",

pages = "178--185",

booktitle = "Artificial Intelligence Research and Development. Proceedings of the 11th International Conference of the Catalan Association for Artificial Intelligence",

address = "Netherlands",

edition = "1",

}

Nicolas, R, Golobardes, E , Fornells, A, Segura, S, Puig, S, Carrera, C, Palou, J & Malvehy, J 2008, Using ensemble-based reasoning to help experts in melanoma diagnosis. in Artificial Intelligence Research and Development. Proceedings of the 11th International Conference of the Catalan Association for Artificial Intelligence. 1 ed., Frontiers in Artificial Intelligence and Applications, núm. 1, vol. 184, IOS Press, pàg. 178-185. https://doi.org/10.3233/978-1-58603-925-7-178

Using ensemble-based reasoning to help experts in melanoma diagnosis. / Nicolas, Ruben; Golobardes, Elisabet ; Fornells, Albert et al.
Artificial Intelligence Research and Development. Proceedings of the 11th International Conference of the Catalan Association for Artificial Intelligence. 1. ed. IOS Press, 2008. pàg. 178-185 (Frontiers in Artificial Intelligence and Applications; Vol. 184, Núm. 1).

Producció científica: Capítol de llibre › Contribució a congrés/conferència › Avaluat per experts

TY - GEN

T1 - Using ensemble-based reasoning to help experts in melanoma diagnosis

AU - Nicolas, Ruben

AU - Golobardes, Elisabet

AU - Fornells, Albert

AU - Segura, Sonia

AU - Puig, Susana

AU - Carrera, Cristina

AU - Palou, Joseph

AU - Malvehy, Josep

PY - 2008

Y1 - 2008

N2 - New habits in solar exposure have caused an important increase of melanoma cancer during the last few years. However, recent studies demonstrate that early diagnosis drastically improves the treatment of this illness. This work presents a platform called MEDIBE that helps experts to diagnose melanoma. MEDIBE is an ensemble-based reasoning system that uses two of the most important non-invasive image techniques: Reflectance Confocal Microscopy and Dermatoscopy. The combination of both image source improves the reliability of diagnosis.

AB - New habits in solar exposure have caused an important increase of melanoma cancer during the last few years. However, recent studies demonstrate that early diagnosis drastically improves the treatment of this illness. This work presents a platform called MEDIBE that helps experts to diagnose melanoma. MEDIBE is an ensemble-based reasoning system that uses two of the most important non-invasive image techniques: Reflectance Confocal Microscopy and Dermatoscopy. The combination of both image source improves the reliability of diagnosis.

KW - Artificial Intelligence in Medical Applications

KW - Basal Cell Carcinoma

KW - Case-Based Reasoning

KW - Dermatoscopy

KW - Ensemble Methods

KW - Melanoma

KW - Reflectance Confocal Microscopy

UR - https://www.scopus.com/pages/publications/84875922457

U2 - 10.3233/978-1-58603-925-7-178

DO - 10.3233/978-1-58603-925-7-178

M3 - Conference contribution

AN - SCOPUS:84875922457

SN - 9781586039257

T3 - Frontiers in Artificial Intelligence and Applications

SP - 178

EP - 185

BT - Artificial Intelligence Research and Development. Proceedings of the 11th International Conference of the Catalan Association for Artificial Intelligence

PB - IOS Press

ER -

Nicolas R, Golobardes E , Fornells A, Segura S, Puig S, Carrera C et al. Using ensemble-based reasoning to help experts in melanoma diagnosis. In Artificial Intelligence Research and Development. Proceedings of the 11th International Conference of the Catalan Association for Artificial Intelligence. 1 ed. IOS Press. 2008. pàg. 178-185. (Frontiers in Artificial Intelligence and Applications; 1). doi: 10.3233/978-1-58603-925-7-178

Using ensemble-based reasoning to help experts in melanoma diagnosis

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