Factors affecting the labelling accuracy of brain MRI studies relevant for deep learning abnormality detection

Unlocking the vast potential of deep learning-based computer vision classification systems necessitates large data sets for model training. Natural Language Processing (NLP)—involving automation of dataset labelling—represents a potential avenue to achieve this. However, many aspects of NLP for data...

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Detalles Bibliográficos

Principais autores:	Matthew Benger, David A. Wood, Sina Kafiabadi, Aisha Al Busaidi, Emily Guilhem, Jeremy Lynch, Matthew Townend, Antanas Montvila, Juveria Siddiqui, Naveen Gadapa, Gareth Barker, Sebastian Ourselin, James H. Cole, Thomas C. Booth
Formato:	Artigo
Idioma:	Inglês
Publicado:	Frontiers Media S.A. 2023-11-01
Series:	Frontiers in Radiology
Assuntos:	deep learning computer vision system labelling neuroradiology MRI
Acceso en liña:	https://www.frontiersin.org/articles/10.3389/fradi.2023.1251825/full
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