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: | R.U. Epifanov, N.A. Nikitin, A.A. Rabtsun, L.N. Kurdyukov, A.A. Karpenko, R.I. Mullyadzhanov |
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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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