Cargando…
Variational Approach for Joint Kidney Segmentation and Registration from DCE-MRI Using Fuzzy Clustering with Shape Priors
The dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) technique has great potential in the diagnosis, therapy, and follow-up of patients with chronic kidney disease (CKD). Towards that end, precise kidney segmentation from DCE-MRI data becomes a prerequisite processing step. Exploiting...
Autores principales: | El-Melegy, Moumen, Kamel, Rasha, Abou El-Ghar, Mohamed, Alghamdi, Norah S., El-Baz, Ayman |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9856100/ https://www.ncbi.nlm.nih.gov/pubmed/36672514 http://dx.doi.org/10.3390/biomedicines11010006 |
Ejemplares similares
-
Level-Set-Based Kidney Segmentation from DCE-MRI Using Fuzzy Clustering with Population-Based and Subject-Specific Shape Statistics
por: El-Melegy, Moumen, et al.
Publicado: (2022) -
Kidney segmentation from DCE-MRI converging level set methods, fuzzy clustering and Markov random field modeling
por: El-Melegy, Moumen, et al.
Publicado: (2022) -
Kidney Segmentation from Dynamic Contrast-Enhanced Magnetic Resonance Imaging Integrating Deep Convolutional Neural Networks and Level Set Methods
por: El-Melegy, Moumen T., et al.
Publicado: (2023) -
3D kidney segmentation from abdominal diffusion MRI using an appearance-guided deformable boundary
por: Shehata, Mohamed, et al.
Publicado: (2018) -
Precise Identification of Prostate Cancer from DWI Using Transfer Learning
por: Abdelmaksoud, Islam R., et al.
Publicado: (2021)