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Attention‐guided duplex adversarial U‐net for pancreatic segmentation from computed tomography images

PURPOSE: Segmenting the organs from computed tomography (CT) images is crucial to early diagnosis and treatment. Pancreas segmentation is especially challenging because the pancreas has a small volume and a large variation in shape. METHODS: To mitigate this issue, an attention‐guided duplex adversa...

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Detalles Bibliográficos
Autores principales: Li, Meiyu, Lian, Fenghui, Li, Yang, Guo, Shuxu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8992955/
https://www.ncbi.nlm.nih.gov/pubmed/35199477
http://dx.doi.org/10.1002/acm2.13537

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