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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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| Publicat a: | BMC Syst Biol |
|---|---|
| Autors principals: | , , , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
BioMed Central
2018
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5998890/ https://ncbi.nlm.nih.gov/pubmed/29745840 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12918-018-0572-z |
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