Repository logo
 
Publication

Brain segmentation in head CT images

dc.contributor.authorTorres, Ana Sofia
dc.contributor.authorMonteiro, Fernando C.
dc.date.accessioned2014-09-25T08:59:24Z
dc.date.available2014-09-25T08:59:24Z
dc.date.issued2012
dc.description.abstractBrain segmentation in head computed tomography scans is essential for the development of computer-aided diagnostic methods for identifying the brain diseases. In this paper we present a hybrid framework to brain segmentation which joints region-based information based on watershed transform with clustering techniques. A pre-processing step is used to reduce the spatial resolution without losing important image information. An initial partitioning of the image into primitive regions is set by applying a rainfalling watershed algorithm on the image gradient magnitude. This initial partition is the input to a computationally efficient region segmentation process which produces the final segmentation. We have applied our approach on several head CT images and the results reveal the robustness and accuracy of this method.por
dc.identifier.citationTorres, Ana Sofia; Monteiro, Fernando C. (2012). Brain segmentation in head CT images. In International Conference on Bio-inspired Systems and Signal Processing. Vilamoura - Portugal. p.434-437. ISBN 978-989-8425-89-8por
dc.identifier.doi10.5220/0003794704340437
dc.identifier.isbn978-989-8425-89-8
dc.identifier.urihttp://hdl.handle.net/10198/10584
dc.language.isoengpor
dc.peerreviewedyespor
dc.relation.publisherversionhttp://www.scitepress.org/DigitalLibrary/Link.aspx?doi=10.5220/0003794704340437por
dc.subjectBrain segmentationpor
dc.subjectGraph clusteringpor
dc.subjectHead CT imagespor
dc.subjectWatershed transformpor
dc.titleBrain segmentation in head CT imagespor
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.conferencePlaceVilamoura - Portugalpor
oaire.citation.endPage437por
oaire.citation.startPage434por
oaire.citation.titleInternational Conference on Bio-inspired Systems and Signal Processingpor
person.familyNameMonteiro
person.givenNameFernando C.
person.identifier.ciencia-id2019-BDBF-10E2
person.identifier.orcid0000-0002-1421-8006
person.identifier.ridH-9213-2016
person.identifier.scopus-author-id8986162600
rcaap.rightsopenAccesspor
rcaap.typeconferenceObjectpor
relation.isAuthorOfPublication363b6c37-282c-4cd6-bb54-3c97cc700d78
relation.isAuthorOfPublication.latestForDiscovery363b6c37-282c-4cd6-bb54-3c97cc700d78

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
37947.pdf
Size:
438.96 KB
Format:
Adobe Portable Document Format
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.75 KB
Format:
Item-specific license agreed upon to submission
Description: