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National Repository of Grey Literature 4 records found  Search took 0.01 seconds. 
Segmetation of tomographic data in 3D Slicer
 Korčuška, Robert ; Dvořák, Pavel (referee) ; Mikulka, Jan (advisor)
This thesis contains basic theoretical information about SVM-based image segmentation and data classification. Basic information about 3D Slicer software are presented. Aspects of medical images segmentation are described. Workplan and implemetation of SVM method for MRI segmentation in 3D Slicer sofware as extension module is created. SVM method is compared with simple segmentation algorithms included in 3D Slicer. Quality of segmentation, based on SVM, tested on real subjects is experimentaly demonstrated.
Detailed record
Applicability of the CUDA library in practical image processing
 Korčuška, Robert ; Čáp, Martin (referee) ; Klusáček, Stanislav (advisor)
This thesis contains basic theoretical information about image processing, parallel data processing and information about CUDA standard in detail, also desribes aplicability of CUDA in parallel data processing. Testing application compares speed of the image processing in serial CPU application and GPU parallel application, and describes basic methods of parallel programming in the CUDA platform.
Detailed record
Applicability of the CUDA library in practical image processing
 Korčuška, Robert ; Čáp, Martin (referee) ; Klusáček, Stanislav (advisor)
This thesis contains basic theoretical information about image processing, parallel data processing and information about CUDA standard in detail, also desribes aplicability of CUDA in parallel data processing. Testing application compares speed of the image processing in serial CPU application and GPU parallel application, and describes basic methods of parallel programming in the CUDA platform.
Detailed record
Segmetation of tomographic data in 3D Slicer
 Korčuška, Robert ; Dvořák, Pavel (referee) ; Mikulka, Jan (advisor)
This thesis contains basic theoretical information about SVM-based image segmentation and data classification. Basic information about 3D Slicer software are presented. Aspects of medical images segmentation are described. Workplan and implemetation of SVM method for MRI segmentation in 3D Slicer sofware as extension module is created. SVM method is compared with simple segmentation algorithms included in 3D Slicer. Quality of segmentation, based on SVM, tested on real subjects is experimentaly demonstrated.
Detailed record

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