Level-Set-Based Kidney Segmentation from DCE-MRI Using Fuzzy Clustering with Population-Based and Subject-Specific Shape Statistics

Level-Set-Based Kidney Segmentation from DCE-MRI Using Fuzzy Clustering with Population-Based and Subject-Specific Shape Statistics

The segmentation of dynamic contrast-enhanced magnetic resonance images (DCE-MRI) of the kidney is a fundamental step in the early and noninvasive detection of acute renal allograft rejection. In this paper, a new and accurate DCE-MRI kidney segmentation method is proposed. In this method, fuzzy c-m...

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Bibliographic Details
Main Authors: Moumen El-Melegy, Rasha Kamel, Mohamed Abou El-Ghar, Norah S. Alghamdi, Ayman El-Baz
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Bioengineering
Subjects:
DCE-MRI
fuzzy c-means
kidney segmentation
level set
statistical shape models
U-Net
Online Access:https://www.mdpi.com/2306-5354/9/11/654

Internet

https://www.mdpi.com/2306-5354/9/11/654

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