The RSNA Pediatric Bone Age Machine Learning Challenge

PURPOSE: The Radiological Society of North America (RSNA) Pediatric Bone Age Machine Learning Challenge was created to show an application of machine learning (ML) and artificial intelligence (AI) in medical imaging, promote collaboration to catalyze AI model creation, and identify innovators in med...

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Detalhes bibliográficos
Publicado no:Radiology
Main Authors: Halabi, Safwan S., Prevedello, Luciano M., Kalpathy-Cramer, Jayashree, Mamonov, Artem B., Bilbily, Alexander, Cicero, Mark, Pan, Ian, Pereira, Lucas Araújo, Sousa, Rafael Teixeira, Abdala, Nitamar, Kitamura, Felipe Campos, Thodberg, Hans H., Chen, Leon, Shih, George, Andriole, Katherine, Kohli, Marc D., Erickson, Bradley J., Flanders, Adam E.
Formato: Artigo
Idioma:Inglês
Publicado em: Radiological Society of North America 2019
Assuntos:
Original Research
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6358027/
https://ncbi.nlm.nih.gov/pubmed/30480490
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1148/radiol.2018180736
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