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Disease specific intelligent pre-fetch and hanging protocol for diagnostic neuroradiology workstations.
Clinical data sets for neuroradiological cases can be quite large. A typical brain tumor patient at UCLA will undergo 8-10 separate studies over a 2 year period, each study will produce 60-100 magnetic resonance (MR) images. Gathering and sorting through a patient s imaging events during the course...
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| Autors principals: | , , , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
American Medical Informatics Association
2001
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2243500/ https://ncbi.nlm.nih.gov/pubmed/11825232 |
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