Efficient labelling for efficient deep learning: the benefit of a multiple-image-ranking method to generate high volume training data applied to ventricular slice level classification in cardiac MRI

BACKGROUND: Getting the most value from expert clinicians’ limited labelling time is a major challenge for artificial intelligence (AI) development in clinical imaging. We present a novel method for ground-truth labelling of cardiac magnetic resonance imaging (CMR) image data by leveraging multiple...

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Detalles Bibliográficos
Autores principales: Zaman, Sameer, Vimalesvaran, Kavitha, Howard, James P., Chappell, Digby, Varela, Marta, Peters, Nicholas S., Francis, Darrel P., Bharath, Anil A., Linton, Nick W. F., Cole, Graham D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7614685/
https://www.ncbi.nlm.nih.gov/pubmed/37346802
http://dx.doi.org/10.21037/jmai-22-55

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7614685/
https://www.ncbi.nlm.nih.gov/pubmed/37346802
http://dx.doi.org/10.21037/jmai-22-55

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