Adjusting U-Net for the aortic abdominal aneurysm CT segmentation case
In this paper, we address the issue of developing of a convolutional neural network for the problem of aneurysm segmentation into three classes and of exploring ways for improving the quality of final segmentation masks. As a result of our study, macro dice score for classes of interest reaches 83.1...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Samara National Research University
2024-06-01
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| Series: | Компьютерная оптика |
| Subjects: | |
| Online Access: | https://www.computeroptics.ru/KO/Annot/KO48-3/480312.html |
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