May 13, 2024, 4:46 a.m. | Yaoqin Ye, Junjie Zhang, Hongwei Shi

cs.CL updates on

arXiv:2405.06468v1 Announce Type: cross
Abstract: 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. This complexity underlines the need for computer-aided diagnosis methods employing multi-label zero-shot learning. Recent advancements in pre-trained vision-language models (VLMs) have showcased notable zero-shot classification abilities on medical images. However, these methods have limitations on leveraging extensive pre-trained knowledge from broader image datasets, and often depend on …

arxiv classification image language language models medical prompt type vision vision-language vision-language models

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