Hierarchical combinatorial deep learning architecture for pancreas segmentation of medical computed tomography cancer images

BACKGROUND: Efficient computational recognition and segmentation of target organ from medical images are foundational in diagnosis and treatment, especially about pancreas cancer. In practice, the diversity in appearance of pancreas and organs in abdomen, makes detailed texture information of object...

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Detalles Bibliográficos
Autores principales: Fu, Min, Wu, Wenming, Hong, Xiafei, Liu, Qiuhua, Jiang, Jialin, Ou, Yaobin, Zhao, Yupei, Gong, Xinqi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5998890/
https://www.ncbi.nlm.nih.gov/pubmed/29745840
http://dx.doi.org/10.1186/s12918-018-0572-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5998890/
https://www.ncbi.nlm.nih.gov/pubmed/29745840
http://dx.doi.org/10.1186/s12918-018-0572-z

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