Models 6
project-lighter/ct_fm_feature_extractor
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…
project-lighter/ct_fm_segresnet
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…
StanfordAIMI/dinov2-base-xray-224
AIMI FMs: A Collection of Foundation Models in Radiology
GoodBaiBai88/M3D-CLIP
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…
ziyanhuang/STU-Net
MrGiovanni/SuPreM