क्यूआर कोड

A Systematic Review of Contrastive Learning in Medical AI: Foundations, Biomedical Modalities, and Future Directions

Medical artificial intelligence (AI) systems depend heavily on high-quality data representations to support accurate prediction, diagnosis, and clinical decision-making. However, the availability of large, well-annotated medical datasets is often constrained by cost, privacy concerns, and the need f...

पूर्ण विवरण

में बचाया:
मुख्य लेखकों: George Obaido, Ibomoiye Domor Mienye, Kehinde Aruleba, Chidozie Williams Chukwu, Ebenezer Esenogho, Cameron Modisane
स्वरूप: Artigo
भाषा:Inglês
प्रकाशित: MDPI AG 2026-02-01
श्रृंखला:Bioengineering
विषय:
contrastive learning
self-supervised learning
medical AI
artificial intelligence
representation learning
ऑनलाइन पहुंच:https://www.mdpi.com/2306-5354/13/2/176
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