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Performance of Common Clustering Methods in Segmenting Vascular Pathologies in Capsule Endoscopy Images

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Performance of Common Clustering Methods in Segmenting Vascular Pathologies in Capsule Endoscopy Images

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Noorda, RA.; Naranjo Ornedo, V.; Pons, V. (2017). Performance of Common Clustering Methods in Segmenting Vascular Pathologies in Capsule Endoscopy Images. International Journal of Computer Assisted Radiology and Surgery. 12(1):S22-S23. doi:10.1007/s11548-017-1588-3

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/91460

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Title: Performance of Common Clustering Methods in Segmenting Vascular Pathologies in Capsule Endoscopy Images
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions
Universitat Politècnica de València. Instituto Universitario de Telecomunicación y Aplicaciones Multimedia - Institut Universitari de Telecomunicacions i Aplicacions Multimèdia
Issued date:
Subjects: Capsule endoscopy , Image segmentation , Angioectasia , Bleeding
Copyrigths: Reserva de todos los derechos
Source:
International Journal of Computer Assisted Radiology and Surgery. (issn: 1861-6410 )
DOI: 10.1007/s11548-017-1588-3
Publisher:
Springer-Verlag
Publisher version: https://dx.doi.org/10.1007/s11548-017-1588-3
Conference name: 31st International Congress and Exhibition
Conference place: Barcelona, Spain
Conference date: June 20-24, 2017
Project ID: info:eu-repo/grantAgreement/EC/H2020/675353/EU
Type: Artículo Comunicación en congreso

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