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Pseudo-Prompt Generating in Pre-trained Vision-Language Models for Multi-Label Medical Image Classification
The task of medical image recognition is notably complicated by the presence of varied and multiple pathological indications, presenting a unique challenge in multi-label classification with unseen labels.
HGT: A Hierarchical GCN-Based Transformer for Multimodal Periprosthetic Joint Infection Diagnosis Using CT Images and Text
Prosthetic Joint Infection (PJI) is a prevalent and severe complication characterized by high diagnostic challenges.
A multimodal method based on cross-attention and convolution for postoperative infection diagnosis
This study focuses on PJI, a type of postoperative infection.
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