Automated identification of clinical features from sparsely annotated 3-dimensional medical imaging

One of the core challenges in applying machine learning and artificial intelligence to medicine is the limited availability of annotated medical data. Unlike in other applications of machine learning, where an abundance of labeled data is available, the labeling and annotation of medical data and im...

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Detalles Bibliográficos
Autores principales: Rakocz, Nadav, Chiang, Jeffrey N., Nittala, Muneeswar G., Corradetti, Giulia, Tiosano, Liran, Velaga, Swetha, Thompson, Michael, Hill, Brian L., Sankararaman, Sriram, Haines, Jonathan L., Pericak-Vance, Margaret A., Stambolian, Dwight, Sadda, Srinivas R., Halperin, Eran
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7940637/
https://www.ncbi.nlm.nih.gov/pubmed/33686212
http://dx.doi.org/10.1038/s41746-021-00411-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7940637/
https://www.ncbi.nlm.nih.gov/pubmed/33686212
http://dx.doi.org/10.1038/s41746-021-00411-w

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