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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Detaylı Bibliyografya
Yayımlandı:Radiology
Asıl Yazarlar: 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.
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: Radiological Society of North America 2019
Konular:
Original Research
Online Erişim: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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