Deep learning to automate the labelling of head MRI datasets for computer vision applications

OBJECTIVES: The purpose of this study was to build a deep learning model to derive labels from neuroradiology reports and assign these to the corresponding examinations, overcoming a bottleneck to computer vision model development. METHODS: Reference-standard labels were generated by a team of neuro...

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Detalles Bibliográficos
Autores principales: Wood, David A., Kafiabadi, Sina, Al Busaidi, Aisha, Guilhem, Emily L., Lynch, Jeremy, Townend, Matthew K., Montvila, Antanas, Kiik, Martin, Siddiqui, Juveria, Gadapa, Naveen, Benger, Matthew D., Mazumder, Asif, Barker, Gareth, Ourselin, Sebastian, Cole, James H., Booth, Thomas C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Imaging Informatics and Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8660736/
https://www.ncbi.nlm.nih.gov/pubmed/34286375
http://dx.doi.org/10.1007/s00330-021-08132-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8660736/
https://www.ncbi.nlm.nih.gov/pubmed/34286375
http://dx.doi.org/10.1007/s00330-021-08132-0

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