Processing and classification of biological images: Application to histology

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dc.contributor.authorNunes, B
dc.contributor.authorRato, Luis
dc.contributor.authorCapela e Silva, F
dc.contributor.authorRafael, A
dc.contributor.authorCabrita, AS
dc.contributor.editorJorge, RM
dc.contributor.editorTavares, JM
dc.contributor.editorBarbosa, MP
dc.contributor.editorSlade, AP
dc.date.accessioned2012-01-20T10:12:59Z
dc.date.available2012-01-20T10:12:59Z
dc.date.issued2011-01
dc.description.abstractThis article deals with a histological problem by using image processing and feature extraction in images of renal tissues of rats and their classification through various methods such as: Bayesian inference, decision trees and support vector machines.por
dc.identifier.authoremailnd
dc.identifier.authoremaillmr@di.uevora.pt
dc.identifier.authoremailfcs@uevora.pt
dc.identifier.authoremailnd
dc.identifier.authoremailnd
dc.identifier.citationNunes B, Rato LM, Capela e Silva F, Rafael A, Cabrita AS. Processing and classification of biological images: Application to histology. In Jorge RM, Tavares JM, Barbosa MP, Slade AP (Eds.) Technology and Medical Sciences. 6th International Conference on Technology and Medical Sciences (TMSi) ISBN: 978-0-415-66822-4, e-ISBN: 978-0-203-81659-2, Taylor and Francis, January 2011; pp. 233-237.por
dc.identifier.isbn978-0-415-66822-4
dc.identifier.scientificarea283por
dc.identifier.sharewithBIOpor
dc.identifier.urihttp://hdl.handle.net/10174/3917
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherTaylor and Francis/CRC PRESSpor
dc.rightsopenAccesspor
dc.subjectImage processingpor
dc.subjectSegmentationpor
dc.subjectClassificationpor
dc.subjectFeature extractionpor
dc.subjectHistologypor
dc.subjectHistologypor
dc.subjectRenal glomerulipor
dc.titleProcessing and classification of biological images: Application to histologypor
dc.typearticlepor

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