A heterogeneous multi-modal medical data fusion framework supporting hybrid data exploration

Industry 4.0 era has witnessed that more and more high-tech and precise devices are applied into medical field to provide better services. Besides EMRs, medical data include a large amount of unstructured data such as X-rays, MRI scans, CT scans and PET scans, which is still continually increasing....

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Detalles Bibliográficos
Autores principales: Zhang, Yong, Sheng, Ming, Liu, Xingyue, Wang, Ruoyu, Lin, Weihang, Ren, Peng, Wang, Xia, Zhao, Enlai, Song, Wenchao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9417071/
https://www.ncbi.nlm.nih.gov/pubmed/36039096
http://dx.doi.org/10.1007/s13755-022-00183-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9417071/
https://www.ncbi.nlm.nih.gov/pubmed/36039096
http://dx.doi.org/10.1007/s13755-022-00183-x

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