Zobrazeno 1 - 2
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pro vyhledávání: '"Aiham Taleb"'
Autor:
Aiham Taleb, Csaba Rohrer, Benjamin Bergner, Guilherme De Leon, Jonas Almeida Rodrigues, Falk Schwendicke, Christoph Lippert, Joachim Krois
Publikováno v:
Diagnostics, Vol 12, Iss 5, p 1237 (2022)
High annotation costs are a substantial bottleneck in applying deep learning architectures to clinically relevant use cases, substantiating the need for algorithms to learn from unlabeled data. In this work, we propose employing self-supervised metho
Externí odkaz:
https://doaj.org/article/423915b150e1480a9472f632141555f7
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030781903
IPMI
IPMI
Self-supervised learning approaches leverage unlabeled samples to acquire generic knowledge about different concepts, hence allowing for annotation-efficient downstream task learning. In this paper, we propose a novel self-supervised method that leve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4689d379358a910aa55b447bc44fb025
https://doi.org/10.1007/978-3-030-78191-0_51
https://doi.org/10.1007/978-3-030-78191-0_51
