LA-ViT: A Network with Transformers Constrained by Learned-Parameter-Free Attention for Interpretable Grading in a New Laryngeal Histopathology Image Dataset.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS（2024）
Key words
Semantics,Transformers,Pathology,Convolutional neural networks,Bioinformatics,Tumors,Target recognition,Laryngeal cancer,pathological grading,histopathological images,image semantics,interpretable,transformer
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