Abstract: Recently, test-time adaptation has attracted wide interest in the context of vision-language models for image classification. However, to the best of our knowledge, the problem is completely ...

Abstract: We proposed Med-VLM (Medical Vision-language Model), an innovative approach that leverages textual descriptions of organs to enhance segmentation accuracy in medical images. Existing medical ...

Abstract: Automatic segmentation of medical images is a crucial step for lesion measurement in computer-aided diagnosis. Convolutional neural networks (CNNs) and vision transformers (ViTs) are widely ...

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