Contextual information has been widely used to improve results of semantic segmentation. However, most approaches investigate contextual dependencies through self-attention and lack guidance on which ...

In this article, we propose a large language model (LLM)-assisted graph attentive feature interaction learning framework (CVDLLM) for automatic ECG diagnosis. It utilizes ECG data from twelve leads to ...