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Deep-learning based model implementation for pathological tissue characterization in brain MR images
 Malík, Michael ; Nemčeková, Petra (referee) ; Chmelík, Jiří (advisor)
This bachelor thesis focuses on the issue of image segmentation by using a deep learning model. The theoretical part describes the anatomy and selected pathology of brain. The thesis also deals with the construction of MR device and creation of an MR image. In the closing section of theoretical part, the main focus is on describing the possibilities of image segmentation with the use of deep learning architectures and selected publicly available dataset. The aim of the practical part is to put the mentioned dataset and pre-processed data to the test and acquire results of image segmentations of individual patients from attached model of neural network. In conclusion, the achieved results are appropriately discussed.
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See also: similar author names
1 Malík, Marek
1 Malík, Martin
1 Malík, Matěj
2 Malík, Michal
2 Malík, Milan
1 Malík, Miroslav
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