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National Repository of Grey Literature 1 records found  Search took 0.00 seconds. 
Potential of neural networks using capsules for medical image processing
 Šipula, Samuel ; Vičar, Tomáš (referee) ; Chmelík, Jiří (advisor)
The following master thesis introduces the reader to a relatively new deep learning approach, the capsule neural network. The thesis describes the working principle of capsule networks and compares them with established convolutional networks. Further, the reader is introduced to the use of this technique in medical image processing. The practical part of the paper describes the procedure of learning a capsule network and a reference convolutional network on two datasets. The aim of the thesis is to compare the effect of dataset size on the resulting efficiency of the two types of networks.
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