Supervised Segmentation For 3D Slicer
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Date
2017
Authors
ORCID
Advisor
Referee
Mark
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Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
Abstract
The purpose of this work is to introduce an extendable framework for training and usage of machine learning algorithms. This framework is bundled in an extension for 3D Slicer that is to be used for medical images segmentation. An example usage of the extension is also provided.
Description
Citation
Proceedings of the 23st Conference STUDENT EEICT 2017. s. 296-298. ISBN 978-80-214-5496-5
http://www.feec.vutbr.cz/EEICT/
http://www.feec.vutbr.cz/EEICT/
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Peer-reviewed
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Published version
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en
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© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií