Object Detection Networks For Localization And Classification Of Intracranial Hemorrhages

Nemcek, Jakub

Object Detection Networks For Localization And Classification Of Intracranial Hemorrhages

but.event.date	27.04.2021	cs
but.event.title	STUDENT EEICT 2021	cs
dc.contributor.author	Nemcek, Jakub
dc.date.accessioned	2023-01-06T10:05:43Z
dc.date.available	2023-01-06T10:05:43Z
dc.date.issued	2021	cs
dc.description.abstract	Intracranial hemorrhages represent life-threatening brain injuries. This paper presents twostate-of-the-art object detection systems (Faster R-CNN and YOLO v2) which are trained to localizeand classify hemorrhages in axial head CT slices by providing labelled rectangular bounding boxes.Publicly available datasets of head CT data and ground truth bounding boxes are used to evaluate andcompare the performance of both detectors. The Faster R-CNN shows better results by achieving anaverage Jaccard coefficient of 58.7 %.	en
dc.format	text	cs
dc.format.extent	116-120	cs
dc.format.mimetype	application/pdf	en
dc.identifier.citation	Proceedings II of the 27st Conference STUDENT EEICT 2021: Selected Papers. s. 116-120. ISBN 978-80-214-5943-4	cs
dc.identifier.doi	10.13164/eeict.2021.116
dc.identifier.isbn	978-80-214-5943-4
dc.identifier.uri	http://hdl.handle.net/11012/200824
dc.language.iso	en	cs
dc.publisher	Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií	cs
dc.relation.ispartof	Proceedings II of the 27st Conference STUDENT EEICT 2021: Selected papers	en
dc.relation.uri	https://conf.feec.vutbr.cz/eeict/index/pages/view/ke_stazeni	cs
dc.rights	© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií	cs
dc.rights.access	openAccess	en
dc.subject	intracranial hemorrhage	en
dc.subject	convolutional neural network	en
dc.subject	localization	en
dc.subject	classification	en
dc.subject	computedtomography	en
dc.subject	Faster R-CNN	en
dc.subject	YOLO v2	en
dc.title	Object Detection Networks For Localization And Classification Of Intracranial Hemorrhages	en
dc.type.driver	conferenceObject	en
dc.type.status	Peer-reviewed	en
dc.type.version	publishedVersion	en
eprints.affiliatedInstitution.department	Fakulta elektrotechniky a komunikačních technologií	cs

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