National Repository of Grey Literature 2 records found  Search took 0.01 seconds. 
Segmentation of kidney tumor in CT data
Urbanová, Hedvika ; Vičar, Tomáš (referee) ; Jakubíček, Roman (advisor)
This diploma thesis deals with the kidney tumor segmentation in CT data. First kidney anatomy and pathology is discussed. Following topics are the conventional segmentation techniques and segmentation techniques using machine learning. In the final part, the convolutional neural network is discussed as its algoritm was used for segmentation in the practical part, in which algoritm for segmentation was designed in Python programming language. This algoritm was tested and evaluated using databaze KiTS19.
Segmentation of kidney tumor in CT data
Urbanová, Hedvika ; Vičar, Tomáš (referee) ; Jakubíček, Roman (advisor)
This diploma thesis deals with the kidney tumor segmentation in CT data. First kidney anatomy and pathology is discussed. Following topics are the conventional segmentation techniques and segmentation techniques using machine learning. In the final part, the convolutional neural network is discussed as its algoritm was used for segmentation in the practical part, in which algoritm for segmentation was designed in Python programming language. This algoritm was tested and evaluated using databaze KiTS19.

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