Bladder Wall Segmentation and Characterization on MR Images: Computer-Aided Spina Bifida Diagnosis

Bladder Wall Segmentation and Characterization on MR Images: Computer-Aided Spina Bifida Diagnosis

(1) Background: Segmentation of the bladder inner’s wall and outer boundaries on Magnetic Resonance Images (MRI) is a crucial step for the diagnosis and the characterization of the bladder state and function. This paper proposes an optimized system for the segmentation and the classification of the...

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Bibliographic Details
Main Authors: Rania Trigui, Mouloud Adel, Mathieu Di Bisceglie, Julien Wojak, Jessica Pinol, Alice Faure, Kathia Chaumoitre
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Journal of Imaging
Subjects:
magnetic resonance imaging
bladder wall segmentation
texture analysis
sequential floating selection
optimization
classification
Online Access:https://www.mdpi.com/2313-433X/8/6/151

Internet

https://www.mdpi.com/2313-433X/8/6/151

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