Supervised Segmentation For 3D Slicer
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Date
Authors
Chalupa, Daniel
Advisor
Referee
Mark
Journal Title
Journal ISSN
Volume Title
Publisher
Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
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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.
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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/
Document type
Peer-reviewed
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Published version
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en