Categorical Relation-Preserving Contrastive Knowledge Distillation for Medical Image Classification

The amount of medical images for training deep classification models is typically very scarce, making these deep models prone to overfit the training data. Studies showed that knowledge distillation (KD), especially the mean-teacher framework which is more robust to perturbations, can help mitigate...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Xing, Xiaohan, Hou, Yuenan, Li, Hang, Yuan, Yixuan, Li, Hongsheng, Meng, Max Q. -H
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!