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Autor:
Bundele, Valay, Çal, Oğuz Ata, Kargi, Bora, Sarıtaş, Karahan, Tezören, Kıvanç, Ghaderi, Zohreh, Lensch, Hendrik
Self-supervised learning (SSL) has emerged as a promising paradigm in medical imaging, addressing the chronic challenge of limited labeled data in healthcare settings. While SSL has shown impressive results, existing studies in the medical domain are
Externí odkaz:
http://arxiv.org/abs/2412.19124