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Self-supervised learning methods and applications in medical imaging analysis: a survey
The scarcity of high-quality annotated medical imaging datasets is a major problem that collides with machine learning applications in the field of medical imaging analysis and impedes its advancement. Self-supervised learning is a recent training paradigm that enables learning robust representation...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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PeerJ Inc.
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9455147/ https://www.ncbi.nlm.nih.gov/pubmed/36091989 http://dx.doi.org/10.7717/peerj-cs.1045 |