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National Repository of Grey Literature 2 records found  Search took 0.00 seconds. 
Segmentation of cranial bone after craniectomy
 Vavřinová, Pavlína ; Chmelík, Jiří (referee) ; Jakubíček, Roman (advisor)
This thesis deals with the segmentation of cranial bone in CT patient’s data after craniectomy. The U-Net architecture in 2D and 3D variant were selected for the intention of solving this problem. Jaccard index for 2D U-Net was evaluate as 89,4 % and for 3D U-Net it was 67,1 %. In the area after surgical intervention evaluating index has smaller difference between both variant, the average success rate of skull classification was 98,4 % for 2D U-Net and 97,0 % for 3D U-Net.
Detailed record
Segmentation of cranial bone after craniectomy
 Vavřinová, Pavlína ; Chmelík, Jiří (referee) ; Jakubíček, Roman (advisor)
This thesis deals with the segmentation of cranial bone in CT patient’s data after craniectomy. The U-Net architecture in 2D and 3D variant were selected for the intention of solving this problem. Jaccard index for 2D U-Net was evaluate as 89,4 % and for 3D U-Net it was 67,1 %. In the area after surgical intervention evaluating index has smaller difference between both variant, the average success rate of skull classification was 98,4 % for 2D U-Net and 97,0 % for 3D U-Net.
Detailed record

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