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
Autores principales: 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: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7887127/
https://www.ncbi.nlm.nih.gov/pubmed/33169211
http://dx.doi.org/10.1007/s10278-020-00384-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7887127/
https://www.ncbi.nlm.nih.gov/pubmed/33169211
http://dx.doi.org/10.1007/s10278-020-00384-4

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