Proactive Construction of an Annotated Imaging Database for Artificial Intelligence Training

Artificial intelligence (AI) holds much promise for enabling highly desired imaging diagnostics improvements. One of the most limiting bottlenecks for the development of useful clinical-grade AI models is the lack of training data. One aspect is the large amount of cases needed and another is the ne...

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Detalles Bibliográficos
Publicado en:J Digit Imaging
Main Authors: Stadler, Caroline Bivik, Lindvall, Martin, Lundström, Claes, Bodén, Anna, Lindman, Karin, Rose, Jeronimo, Treanor, Darren, Blomma, Johan, Stacke, Karin, Pinchaud, Nicolas, Hedlund, Martin, Landgren, Filip, Woisetschläger, Mischa, Forsberg, Daniel
Formato: Artigo
Idioma:Inglês
Publicado: Springer International Publishing 2020
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Article
Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC7887127/
https://ncbi.nlm.nih.gov/pubmed/33169211
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10278-020-00384-4
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