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

Producción científica: Capítulo del libro › Contribución a congreso/conferencia › revisión exhaustiva

3 Citas (Scopus)

Resumen

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	Inglés
Título de la publicación alojada	Artificial Intelligence Research and Development. Proceedings of the 11th International Conference of the Catalan Association for Artificial Intelligence
Editorial	IOS Press
Páginas	178-185
Número de páginas	8
Edición	1
ISBN (versión impresa)	9781586039257
DOI	https://doi.org/10.3233/978-1-58603-925-7-178
Estado	Publicada - 2008

Serie de la publicación

Nombre	Frontiers in Artificial Intelligence and Applications
Número	1
Volumen	184
ISSN (versión impresa)	0922-6389

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

Acceder al documento

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

Otros archivos y enlaces

Enlace a la publicación en Scopus

Citar esto

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. En Artificial Intelligence Research and Development. Proceedings of the 11th International Conference of the Catalan Association for Artificial Intelligence (1 ed., pp. 178-185). (Frontiers in Artificial Intelligence and Applications; Vol. 184, N.º 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. pp. 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. En 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, n.º 1, vol. 184, IOS Press, pp. 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. p. 178-185 (Frontiers in Artificial Intelligence and Applications; Vol. 184, N.º 1).

Producción científica: Capítulo del libro › Contribución a congreso/conferencia › revisión exhaustiva

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 - http://www.scopus.com/inward/record.url?scp=84875922457&partnerID=8YFLogxK

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. En Artificial Intelligence Research and Development. Proceedings of the 11th International Conference of the Catalan Association for Artificial Intelligence. 1 ed. IOS Press. 2008. p. 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

Resumen

Serie de la publicación

ODS de las Naciones Unidas

Acceder al documento

Otros archivos y enlaces

Huella

Citar esto