模型 7

This model is a feature extractor for CT-FM, a model pre-trained using contrastive self-supervised learning on a huge dataset of 148,000 CT…

This model is a SegResNet containing the weights of the pre-trained CT-FM, using contrastive self-supervised learning on a huge dataset of 1…

M3D-CLIP is one of the works in the M3D series. It is a 3D medical CLIP model that aligns vision and language through contrastive loss on th…

[[image]](https://doi.org/10.1038/s41586-026-10181-8)    [[image]](https://pypi.org/project/merlin-vlm/)

The SegVol is a universal and interactive model for volumetric medical image segmentation. SegVol accepts point, box, and text prompts while…

VISTA3D is trained using over 20 partial datasets with more complicated processing. This model is a hugging face refactored version of the M…