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Neural networks assisted diagnosis of ischemic CVA's through CT scan

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dc.contributor.authorRibeiro, Luís
dc.contributor.authorRuano, Antonio
dc.contributor.authorRuano, M. Graça
dc.contributor.authorFerreira, P. M.
dc.date.accessioned2013-02-07T14:43:12Z
dc.date.available2013-02-07T14:43:12Z
dc.date.issued2007
dc.date.updated2013-01-26T18:34:40Z
dc.description.abstractTechnological and computing evolution promoted new opportunities to improve the quality of life through new medical achievements, in particular, the quality of diagnostic evaluations. Computerised tomography (CT) is one of the imaging equipments for diagnosis which has most benefited from technological improvements. Because of that, and due to the quality of the diagnosis produced, it is one of the most employed equipments in clinical applications. As an example, the ischaemic cerebral vascular accident (ICVA) is a pathology confirming the frequent use of CT. The interest in this pathology, and in general for the encephalon image analysis as a preventive diagnosis, is mainly due to its frequent occurrence in development countries and its social-economic impact. In this paper we propose to evaluate the ability of of artificial neural networks (ANNs) for automatic identification of ICVAs by means of tissue density images obtained by CT. Cranioencephalon CT exams and their respective medical reports were used to train ANN classifiers by means of features extracted from the images. Once the ANNs were trained, the classifiers were tested with data never seen by the network. At this stage we may conclude that the ANNs may significantly contribute as an ICVAs and CT diagnostic aid, since among the test cases the automatic identification of ischaemic lesions has been performed with no false negatives and very few false positives.por
dc.identifier.citationRibeiro, Luis; Ruano, Antonio E.; Ruano, M. Graca; Ferreira, Pedro M. Neural networks assisted diagnosis of ischemic CVA's through CT scan, Trabalho apresentado em 2007 IEEE International Symposium on Intelligent Signal Processing, In Proceedings of the 2007 IEEE International Symposium on Intelligent Signal Processing, Alcala de Henares, Spain, 2007.por
dc.identifier.doihttp://dx.doi.org/10.1109/WISP.2007.4447507
dc.identifier.isbn978-1-4244-0829-0
dc.identifier.otherAUT: ARU00698; MRU00118; LPR02149;
dc.identifier.urihttp://hdl.handle.net/10400.1/2253
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherIEEEpor
dc.subjectICVApor
dc.subjectComputerised tomographypor
dc.subjectANNpor
dc.subjectFeatures extractionpor
dc.titleNeural networks assisted diagnosis of ischemic CVA's through CT scanpor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceAlcala de Henares, Spainpor
oaire.citation.endPage227por
oaire.citation.startPage223por
oaire.citation.titleInternational Symposium on Intelligent Signal Processingpor
person.familyNameRibeiro
person.familyNameRuano
person.familyNameRuano
person.givenNameLuís Pedro
person.givenNameAntonio
person.givenNameMaria
person.identifier2176242
person.identifier.ciencia-idC815-8A07-1950
person.identifier.ciencia-id9811-A0DD-D5A5
person.identifier.orcid0000-0002-6967-0534
person.identifier.orcid0000-0002-6308-8666
person.identifier.orcid0000-0002-0014-9257
person.identifier.ridA-6697-2016
person.identifier.ridB-4135-2008
person.identifier.ridA-8321-2011
person.identifier.scopus-author-id58401765500
person.identifier.scopus-author-id7004284159
person.identifier.scopus-author-id7004483805
rcaap.rightsrestrictedAccesspor
rcaap.typeconferenceObjectpor
relation.isAuthorOfPublication34d8529e-10eb-468a-b4a4-f652d90be308
relation.isAuthorOfPublication13813664-b68b-40aa-97a9-91481a31ebf2
relation.isAuthorOfPublication61fc8492-d73f-46ca-a3a3-4cd762a784e6
relation.isAuthorOfPublication.latestForDiscovery61fc8492-d73f-46ca-a3a3-4cd762a784e6

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