A comparison between two semantic deep learning frameworks for the autosomal dominant polycystic kidney disease segmentation based on magnetic resonance images

BACKGROUND: The automatic segmentation of kidneys in medical images is not a trivial task when the subjects undergoing the medical examination are affected by Autosomal Dominant Polycystic Kidney Disease (ADPKD). Several works dealing with the segmentation of Computed Tomography images from patholog...

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Detalles Bibliográficos
Autores principales: Bevilacqua, Vitoantonio, Brunetti, Antonio, Cascarano, Giacomo Donato, Guerriero, Andrea, Pesce, Francesco, Moschetta, Marco, Gesualdo, Loreto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6907104/
https://www.ncbi.nlm.nih.gov/pubmed/31830973
http://dx.doi.org/10.1186/s12911-019-0988-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6907104/
https://www.ncbi.nlm.nih.gov/pubmed/31830973
http://dx.doi.org/10.1186/s12911-019-0988-4

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