U-Net Convolutional Neural Network For Tem Image Segmentation

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but.event.date26.04.2018cs
but.event.titleStudent EEICT 2018cs
dc.contributor.authorMocko, Štefan
dc.date.accessioned2019-03-04T10:05:45Z
dc.date.available2019-03-04T10:05:45Z
dc.date.issued2018cs
dc.description.abstractThis work deals with the use of a convolutional neural network in the area of segmentation of images acquired with the use of a transmission electron microscope. Paper describes programming tool for image data augmentation, used neural network topology, and it also provides information about model training. This neural network topology delivered excellent results on provided data from the Thermo Fisher Scientific company, which will serve as a starting point for internal company research in image segmentation area.en
dc.formattextcs
dc.format.extent270-272cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationProceedings of the 24th Conference STUDENT EEICT 2018. s. 270-272. ISBN 978-80-214-5614-3cs
dc.identifier.isbn978-80-214-5614-3
dc.identifier.urihttp://hdl.handle.net/11012/138235
dc.language.isoencs
dc.publisherVysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.relation.ispartofProceedings of the 24th Conference STUDENT EEICT 2018en
dc.relation.urihttp://www.feec.vutbr.cz/EEICT/cs
dc.rights© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.rights.accessopenAccessen
dc.subjectNeural networken
dc.subjectU-neten
dc.subjectCNNen
dc.subjectTEMen
dc.subjectsegmentationen
dc.titleU-Net Convolutional Neural Network For Tem Image Segmentationen
dc.type.driverconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.departmentFakulta elektrotechniky a komunikačních technologiícs
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