Detection Of Anatomical Structures In Ct Data
Using Convolutional Neural Networks

Kozlová, Dominika

Detection Of Anatomical Structures In Ct Data Using Convolutional Neural Networks

but.event.date	26.04.2018	cs
but.event.title	Student EEICT 2018	cs
dc.contributor.author	Kozlová, Dominika
dc.date.accessioned	2019-03-04T10:05:41Z
dc.date.available	2019-03-04T10:05:41Z
dc.date.issued	2018	cs
dc.description.abstract	This paper deals with a detection of anatomical structures in medical images using convolutional neural networks (CNN). The designed algorithm contains 2 methods for region proposals and CNN for their classification into categories. Output of the CNN is then postprocessed to obtain the detection result. Categories for detection are head, spine, heart, left and right lung, aorta, liver, left and right kidney, spleen and background. For training and validation of the network were created 2 sets of CT data with annotated areas of selected structures.	en
dc.format	text	cs
dc.format.extent	194-196	cs
dc.format.mimetype	application/pdf	en
dc.identifier.citation	Proceedings of the 24th Conference STUDENT EEICT 2018. s. 194-196. ISBN 978-80-214-5614-3	cs
dc.identifier.isbn	978-80-214-5614-3
dc.identifier.uri	http://hdl.handle.net/11012/138211
dc.language.iso	cz	cs
dc.publisher	Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií	cs
dc.relation.ispartof	Proceedings of the 24th Conference STUDENT EEICT 2018	en
dc.relation.uri	http://www.feec.vutbr.cz/EEICT/	cs
dc.rights	© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií	cs
dc.rights.access	openAccess	en
dc.subject	detection	en
dc.subject	convolutional neural network	en
dc.subject	region proposal	en
dc.subject	selective search	en
dc.title	Detection Of Anatomical Structures In Ct Data Using Convolutional Neural Networks	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

Files

Original bundle

Now showing 1 - 1 of 1

Name:: eeict2018-194.pdf
Size:: 765.31 KB
Format:: Adobe Portable Document Format
Description:

Download

Collections

Student EEICT 2018