Analysis Of The Training Quality Of Brain Tumour Segmentation In Deep Learning Through Similarity

Ustsinau, Usevalad

Analysis Of The Training Quality Of Brain Tumour Segmentation In Deep Learning Through Similarity

but.event.date	23.04.2020	cs
but.event.title	Student EEICT 2020	cs
dc.contributor.author	Ustsinau, Usevalad
dc.date.accessioned	2021-07-15T11:17:20Z
dc.date.available	2021-07-15T11:17:20Z
dc.date.issued	2020	cs
dc.description.abstract	Manual segmentation of brain tumours in MR images is a time-consuming process, which increases the required time for the research of tumour development and its lesion on the cognitive functions of human. Recently there were developed modern solutions for this problem by using a fully automatic segmentation algorithm. As far as segmentation quality plays a highly important role for doctors, we have to train such a model with a significant amount of care to quality. In this paper, it is provided with an analysis of the training quality using state-of-art technology - convolutional neural network U-Net and with training on manually segmented data. The experiment has shown the effectiveness of the provided model and performed 50 training cases with the following analysis through the similarity. The results were put on the similarity matrix and dendrogram. The proposed outcome gives us certain ideas for future improving the quality of image segmentation.	en
dc.format	text	cs
dc.format.extent	229-232	cs
dc.format.mimetype	application/pdf	en
dc.identifier.citation	Proceedings I of the 26st Conference STUDENT EEICT 2020: General papers. s. 229-232. ISBN 978-80-214-5867-3	cs
dc.identifier.isbn	978-80-214-5867-3
dc.identifier.uri	http://hdl.handle.net/11012/200565
dc.language.iso	en	cs
dc.publisher	Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií	cs
dc.relation.ispartof	Proceedings I of the 26st Conference STUDENT EEICT 2020: General papers	en
dc.relation.uri	https://conf.feec.vutbr.cz/eeict/EEICT2020	cs
dc.rights	© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií	cs
dc.rights.access	openAccess	en
dc.subject	segmentation	en
dc.subject	convolutional neural networks	en
dc.subject	deep learning	en
dc.subject	U-Net	en
dc.title	Analysis Of The Training Quality Of Brain Tumour Segmentation In Deep Learning Through Similarity	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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