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Please use this identifier to cite or link to this item: https://hdl.handle.net/10923/13880
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dc.contributor.authorPedro Costa Klein-
dc.contributor.authorRicardo Bernardi Soder-
dc.contributor.authorBECKER, JEFFERSON-
dc.contributor.authorAlexandre Rosa Franco-
dc.contributor.authorMarcio Sarroglia Pinho-
dc.date.accessioned2019-02-07T17:48:34Z-
dc.date.available2019-02-07T17:48:34Z-
dc.date.issued2016-
dc.identifier.isbn978-1-4503-37-
dc.identifier.urihttp://hdl.handle.net/10923/13880-
dc.language.isoen-
dc.relation.ispartofProceedings of the 31st Annual ACM Symposium on Applied Computing - SAC '16, 2016, Estados Unidos.-
dc.rightsopenAccess-
dc.subjectImage processing-
dc.subjectMultiple sclerosis-
dc.subjectMedical Image-
dc.titleAn automatic method for multiple sclerosis lesion detection in fluid attenuated inversion recovery magnetic resonance images-
dc.typeconferenceObject-
dc.date.updated2019-02-07T17:48:34Z-
Appears in Collections:Apresentação em Evento

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