Self-supervised learning for medical image classification: a systematic review and implementation guidelines

Advancements in deep learning and computer vision provide promising solutions for medical image analysis, potentially improving healthcare and patient outcomes. However, the prevailing paradigm of training deep learning models requires large quantities of labeled training data, which is both time-co...

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Detalles Bibliográficos
Autores principales: Huang, Shih-Cheng, Pareek, Anuj, Jensen, Malte, Lungren, Matthew P., Yeung, Serena, Chaudhari, Akshay S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Review Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10131505/
https://www.ncbi.nlm.nih.gov/pubmed/37100953
http://dx.doi.org/10.1038/s41746-023-00811-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10131505/
https://www.ncbi.nlm.nih.gov/pubmed/37100953
http://dx.doi.org/10.1038/s41746-023-00811-0

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