MoMA: Momentum contrastive learning with multi-head attention-based knowledge distillation for histopathology image analysis

There is no doubt that advanced artificial intelligence models and high quality data are the keys to success in developing computational pathology tools. Although the overall volume of pathology data keeps increasing, a lack of quality data is a common issue when it comes to a specific task due to s...

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Veröffentlicht in:	Medical image analysis 2025-04, Vol.101, p.103421, Article 103421
Hauptverfasser:	Le Vuong, Trinh Thi, Kwak, Jin Tae
Format:	Artikel
Sprache:	eng
Schlagworte:	Computational pathology Knowledge distillation Momentum contrast Multi-head self-attention
Online-Zugang:	Volltext
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