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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...

詳細記述

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書誌詳細
出版年:Comput Vis ECCV
主要な著者: Fu, Zeyu, Jiao, Jianbo, Yasrab, Robail, Drukker, Lior, Papageorghiou, Aris T., Noble, J. Alison
フォーマット: Artigo
言語:Inglês
出版事項: 2022
主題:
オンライン・アクセス: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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