Adjusting U-Net for the aortic abdominal aneurysm CT segmentation case

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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Bibliographic Details
Main Authors: R.U. Epifanov, N.A. Nikitin, A.A. Rabtsun, L.N. Kurdyukov, A.A. Karpenko, R.I. Mullyadzhanov
Format: Article
Language:English
Published: Samara National Research University 2024-06-01
Series:Компьютерная оптика
Subjects:
abdominal aortic aneurysm
neural network
semantic segmentation
calcifications
Online Access:https://www.computeroptics.ru/KO/Annot/KO48-3/480312.html
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