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🔒 MahmoodLab/CONCH
Pathology·Medical specialty ·0.8 GB ·↓ 16,431 ·♥ 247
\[Journal Link\] | \[Open Access Read Link\] | \[Github Repo\] | \[Cite\]
🔒 MahmoodLab/conchv1_5
Pathology·Medical specialty ·1.23 GB ·↓ 0 ·♥ 43
CONCHv1_5 is based on the CONCH model, a vision-language model pretrained on 1.17 image/captions in histopathology. CONCHv1_5 is based on a…
🧩 1aurent/swin_tiny_patch4_window7_224.CTransPath
Pathology·Medical specialty ·0.11 GB ·↓ 2,468 ·♥ 3
A Swin Transformer image classification model. \ Trained on 15M histology patches from PAIP and TCGA.
🧩 majiabo/GPFM
Pathology·Medical specialty ·1.21 GB ·↓ 0 ·♥ 6
GPFM is a pathology foundation model based on ViT-L/14 (DINOv2 configuration) for extracting general visual features from histopathology til…
🔒 bioptimus/H-optimus-0
Pathology·Medical specialty ·4.54 GB ·↓ 51,133 ·♥ 104
`H-optimus-0` is an open-source foundation model for histology, developed by Bioptimus. The model is a 1.1B parameter vision transformer tra…
🔒 bioptimus/H-optimus-1
Pathology·Medical specialty ·4.54 GB ·↓ 44,730 ·♥ 75
`H-optimus-1` foundation model for histology, developed by Bioptimus.
🔒 bioptimus/H0-mini
Pathology·Medical specialty ·0.34 GB ·↓ 6,311 ·♥ 35
`H0-mini` is a lightweight foundation model for histology developed by Owkin and Bioptimus.
🧩 1aurent/vit_base_patch16_224.kaiko_ai_towards_large_pathology_fms
Pathology·Medical specialty ·0.34 GB ·↓ 987 ·♥ 2
url = "https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcQc7_xZpGOfQT7sxKwf2w5lL4GAq6IX_CbTzP1NGeenzA&s" image = Image.open(io.BytesIO(r…
🧩 1aurent/vit_base_patch8_224.kaiko_ai_towards_large_pathology_fms
Pathology·Medical specialty ·0.34 GB ·↓ 958
url = "https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcQc7_xZpGOfQT7sxKwf2w5lL4GAq6IX_CbTzP1NGeenzA&s" image = Image.open(io.BytesIO(r…
🧩 1aurent/vit_large_patch14_reg4_224.kaiko_ai_towards_large_pathology_fms
Pathology·Medical specialty ·1.22 GB ·↓ 872
url = "https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcQc7_xZpGOfQT7sxKwf2w5lL4GAq6IX_CbTzP1NGeenzA&s" image = Image.open(io.BytesIO(r…
🧩 1aurent/vit_small_patch16_224.kaiko_ai_towards_large_pathology_fms
Pathology·Medical specialty ·0.09 GB ·↓ 1,095
url = "https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcQc7_xZpGOfQT7sxKwf2w5lL4GAq6IX_CbTzP1NGeenzA&s" image = Image.open(io.BytesIO(r…
🧩 1aurent/vit_small_patch8_224.kaiko_ai_towards_large_pathology_fms
Pathology·Medical specialty ·0.09 GB ·↓ 306
url = "https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcQc7_xZpGOfQT7sxKwf2w5lL4GAq6IX_CbTzP1NGeenzA&s" image = Image.open(io.BytesIO(r…
🧩 1aurent/vit_small_patch16_224.lunit_dino
Pathology·Medical specialty ·0.09 GB ·↓ 1,480
A Vision Transformer (ViT) image classification model. \ Trained on 33M histology patches from various pathology datasets.
🧩 1aurent/vit_small_patch8_224.lunit_dino
Pathology·Medical specialty ·0.09 GB ·↓ 9,248 ·♥ 3
A Vision Transformer (ViT) image classification model. \ Trained on 33M histology patches from various pathology datasets.
🔒 Wangyh/mSTAR
Pathology·Medical specialty ·1.21 GB ·↓ 92 ·♥ 23
model = timm.create_model( 'hf-hub:Wangyh/mSTAR', pretrained=True, init_values=1e-5, dynamic_img_size=True ) transform = transforms.Compose(…
🔒 prov-gigapath/prov-gigapath
Pathology·Medical specialty ·5.31 GB ·↓ 44,387 ·♥ 210
[[`Code`]](https://github.com/prov-gigapath/prov-gigapath) [`Model`] [`Paper`] [`BibTeX`]
🧩 1aurent/resnet50.tcga_brca_simclr
Pathology·Medical specialty ·0.09 GB ·↓ 427 ·♥ 1
A ResNet50 image classification model. \ Trained on 2M histology patches from TCGA-BRCA.
🔒 MahmoodLab/UNI
Pathology·Medical specialty ·1.21 GB ·↓ 34,593 ·♥ 429
UNI2, a successor to UNI, trained on over 200 million images from over 350k diverse H&E and IHC slides has been released! Model weights and…
🔒 MahmoodLab/UNI2-h
Pathology·Medical specialty ·2.73 GB ·↓ 56,505 ·♥ 284
\[Journal Link\] | \[Open Access Read Link\] | \[Github Repo\] | \[Cite\]
🔒 paige-ai/Virchow
Pathology·Medical specialty ·2.52 GB ·↓ 12,381 ·♥ 80
Virchow is a self-supervised vision transformer pretrained using 1.5M whole slide histopathology images. The model can be used as a tile-lev…
🔒 paige-ai/Virchow2
Pathology·Medical specialty ·2.53 GB ·↓ 79,714 ·♥ 201
Virchow2 is a self-supervised vision transformer pretrained using 3.1M whole slide histopathology images. The model can be used as a tile-le…