CRAT: Advanced transformer-based deep learning algorithms in OCT image classification

[Display omitted] •Class-Re-Attention Transformers to enhance the accuracy and speed of diagnosing retinal diseases from OCT images.•Re-attention module to improve feature extraction capability through aggregating features between different attention heads.•Class-re-attention module to make the clas...

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Veröffentlicht in:	Biomedical signal processing and control Jg. 104; S. 107544
Hauptverfasser:	Yang, Mingming, Du, Junhui, Lv, Ruichan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.06.2025
Schlagworte:	Class attention Optical coherence tomography Re-attention Retinal disease classification Transformer Transformer Optical coherence tomography Class attention Re-attention Retinal disease classification
ISSN:	1746-8094
Online-Zugang:	Volltext
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