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• W2559483170 abstract "In medicine, anatomy is considered as the most discussed field and results in a huge amount of knowledge, which is heterogeneous and covers aspects that are mostly independent in nature. Visual and symbolic modalities are mainly adopted for exemplifying knowledge about human anatomy and are crucial for the evolution of computational anatomy. In particular, a tight integration of visual and symbolic modalities is beneficial to support knowledge-driven methods for biomedical investigation. In this paper, we review previous work on the presentation and sharing of anatomical knowledge, and the development of advanced methods for computational anatomy, also focusing on the key research challenges for harmonizing symbolic knowledge and spatial 3D data." @default.
• W2559483170 created "2016-12-08" @default.
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• W2559483170 date "2017-01-01" @default.
• W2559483170 modified "2023-09-26" @default.
• W2559483170 title "Combination of visual and symbolic knowledge: A survey in anatomy" @default.
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• W2559483170 doi "https://doi.org/10.1016/j.compbiomed.2016.11.018" @default.
• W2559483170 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/27940289" @default.
• W2559483170 hasPublicationYear "2017" @default.
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