The Process Of Ct Image Classifier Optimization For Pedatric Spine Segmentation

but.event.date27.04.2021cs
but.event.titleSTUDENT EEICT 2021cs
dc.contributor.authorKohúteková, Táňa
dc.date.accessioned2021-07-21T07:06:55Z
dc.date.available2021-07-21T07:06:55Z
dc.date.issued2021cs
dc.description.abstractComputed tomography (CT) is a method commonly used when generating images ofa spine diagnosed with scoliosis. The main reason for this common employment is found in itspracticality: the spine in the image is clearly visible. However, while portraying, a child is exposedto a dose of radiation. To eliminate a risk of children being negatively affected, this article is tryingto find the best technique of segmentation, that could be applied also while using magneticresonance imaging (MRI). It implements a 3D Slicer equipped with Support Vector Machines(SVM) Classifier plug-in to search for the best feature combination. Afterwards, segmentationresults are compared to ground truth image, where the area of hard tissue is determined. The aim isto get Dice coefficients as close as possible to 1.en
dc.formattextcs
dc.format.extent83-86cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationProceedings I of the 27st Conference STUDENT EEICT 2021: General papers. s. 83-86. ISBN 978-80-214-5942-7cs
dc.identifier.isbn978-80-214-5942-7
dc.identifier.urihttp://hdl.handle.net/11012/200713
dc.language.isocscs
dc.publisherVysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.relation.ispartofProceedings I of the 27st Conference STUDENT EEICT 2021: General papersen
dc.relation.urihttps://conf.feec.vutbr.cz/eeict/index/pages/view/ke_stazenics
dc.rights© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.rights.accessopenAccessen
dc.subjectsegmentationen
dc.subjectspineen
dc.subjectscoliosisen
dc.subjectimage processingen
dc.titleThe Process Of Ct Image Classifier Optimization For Pedatric Spine Segmentationen
dc.type.driverconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.departmentFakulta elektrotechniky a komunikačních technologiícs
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