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Anatomy-Aware Contrastive Representation Learning for Fetal Ultrasound

Self-supervised contrastive representation learning offers the advantage of learning meaningful visual representations from unlabeled medical datasets for transfer learning. However, applying current contrastive learning approaches to medical data without considering its domain-specific anatomical c...

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Detalhes bibliográficos
Publicado no:Comput Vis ECCV
Main Authors: Fu, Zeyu, Jiao, Jianbo, Yasrab, Robail, Drukker, Lior, Papageorghiou, Aris T., Noble, J. Alison
Formato: Artigo
Idioma:Inglês
Publicado em: 2022
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Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7614575/
https://ncbi.nlm.nih.gov/pubmed/37250853
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-031-25066-8_23
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