Accurate pancreas segmentation using multi-level pyramidal pooling residual U-Net with adversarial mechanism

BACKGROUND: A novel multi-level pyramidal pooling residual U-Net with adversarial mechanism was proposed for organ segmentation from medical imaging, and was conducted on the challenging NIH Pancreas-CT dataset. METHODS: The 82 pancreatic contrast-enhanced abdominal CT volumes were split via four-fo...

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Detalles Bibliográficos
Autores principales: Li, Meiyu, Lian, Fenghui, Wang, Chunyu, Guo, Shuxu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8588719/
https://www.ncbi.nlm.nih.gov/pubmed/34772359
http://dx.doi.org/10.1186/s12880-021-00694-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8588719/
https://www.ncbi.nlm.nih.gov/pubmed/34772359
http://dx.doi.org/10.1186/s12880-021-00694-1

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