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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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Detalhes bibliográficos
Publicado no:Radiol Artif Intell
Main Authors: Demirer, Mutlu, Candemir, Sema, Bigelow, Matthew T., Yu, Sarah M., Gupta, Vikash, Prevedello, Luciano M., White, Richard D., Yu, Joseph S., Grimmer, Rainer, Wels, Michael, Wimmer, Andreas, Halabi, Abdul H., Ihsani, Alvin, O’Donnell, Thomas P., Erdal, Barbaros S.
Formato: Artigo
Idioma:Inglês
Publicado em: Radiological Society of North America 2019
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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