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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Detalles Bibliográficos
Autores principales: Trigui, Rania, Adel, Mouloud, Di Bisceglie, Mathieu, Wojak, Julien, Pinol, Jessica, Faure, Alice, Chaumoitre, Kathia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9225539/
https://www.ncbi.nlm.nih.gov/pubmed/35735950
http://dx.doi.org/10.3390/jimaging8060151

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9225539/
https://www.ncbi.nlm.nih.gov/pubmed/35735950
http://dx.doi.org/10.3390/jimaging8060151

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