A lightweight neural network with multiscale feature enhancement for liver CT segmentation

Segmentation of abdominal Computed Tomography (CT) scan is essential for analyzing, diagnosing, and treating visceral organ diseases (e.g., hepatocellular carcinoma). This paper proposes a novel neural network (Res-PAC-UNet) that employs a fixed-width residual UNet backbone and Pyramid Atrous Convol...

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Detalles Bibliográficos
Autores principales: Ansari, Mohammed Yusuf, Yang, Yin, Balakrishnan, Shidin, Abinahed, Julien, Al-Ansari, Abdulla, Warfa, Mohamed, Almokdad, Omran, Barah, Ali, Omer, Ahmed, Singh, Ajay Vikram, Meher, Pramod Kumar, Bhadra, Jolly, Halabi, Osama, Azampour, Mohammad Farid, Navab, Nassir, Wendler, Thomas, Dakua, Sarada Prasad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9391485/
https://www.ncbi.nlm.nih.gov/pubmed/35986015
http://dx.doi.org/10.1038/s41598-022-16828-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9391485/
https://www.ncbi.nlm.nih.gov/pubmed/35986015
http://dx.doi.org/10.1038/s41598-022-16828-6

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