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A User Interface for Optimizing Radiologist Engagement in Image Data Curation for Artificial Intelligence
PURPOSE: To delineate image data curation needs and describe a locally designed graphical user interface (GUI) to aid radiologists in image annotation for artificial intelligence (AI) applications in medical imaging. MATERIALS AND METHODS: GUI components support image analysis toolboxes, picture arc...
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| Publicado no: | Radiol Artif Intell |
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| Main Authors: | , , , , , , , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Radiological Society of North America
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8017380/ https://ncbi.nlm.nih.gov/pubmed/33937804 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1148/ryai.2019180095 |
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