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dc.contributor.authorCombalia, Marc
dc.contributor.authorVilaplana Besler, Verónica
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.date.accessioned2019-01-09T11:36:34Z
dc.date.issued2018
dc.identifier.citationCombalia, M., Vilaplana, V. Monte-Carlo sampling applied to multiple instance learning for histological image classification. A: International Conference on Medical Image Computing and Computer Assisted Intervention. "Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support 4th International Workshop, DLMIA 2018 and 8th International Workshop, ML-CDS 2018 Held in Conjunction with MICCAI 2018 Granada, Spain, September 20, 2018: proceedings". Berlín: Springer, 2018, p. 274-281.
dc.identifier.isbn978-3-030-00888-8
dc.identifier.urihttp://hdl.handle.net/2117/126386
dc.description.abstractWe propose a patch sampling strategy based on a sequential Monte-Carlo method for high resolution image classification in the context of Multiple Instance Learning. When compared with grid sampling and uniform sampling techniques, it achieves higher generalization performance. We validate the strategy on two artificial datasets and two histological datasets for breast cancer and sun exposure classification.
dc.format.extent8 p.
dc.language.isoeng
dc.publisherSpringer
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la imatge i del senyal vídeo
dc.subjectÀrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Aprenentatge automàtic
dc.subject.lcshDeep learning
dc.subject.lcshMonte Carlo method
dc.subject.lcshImage processing--Digital techniques
dc.titleMonte-Carlo sampling applied to multiple instance learning for histological image classification
dc.typeConference lecture
dc.subject.lemacAprenentatge profund
dc.subject.lemacMontecarlo, Mètode de
dc.subject.lemacImatges -- Processament -- Tècniques digitals
dc.contributor.groupUniversitat Politècnica de Catalunya. GPI - Grup de Processament d'Imatge i Vídeo
dc.identifier.doi10.1007/978-3-030-00889-5_31
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://www.springer.com/la/book/9783319675572
dc.rights.accessRestricted access - publisher's policy
drac.iddocument23572740
dc.description.versionPostprint (published version)
dc.date.lift10000-01-01
upcommons.citation.authorCombalia, M., Vilaplana, V.
upcommons.citation.contributorInternational Conference on Medical Image Computing and Computer Assisted Intervention
upcommons.citation.pubplaceBerlín
upcommons.citation.publishedtrue
upcommons.citation.publicationNameDeep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support 4th International Workshop, DLMIA 2018 and 8th International Workshop, ML-CDS 2018 Held in Conjunction with MICCAI 2018 Granada, Spain, September 20, 2018: proceedings
upcommons.citation.startingPage274
upcommons.citation.endingPage281


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