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🧩 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.
🧩 jamesdolezal/CTransPath
Pathology·Medical specialty ·0.11 GB ·↓ 0 ·♥ 3
This is the pretrained CTransPath model that accompanies the manuscript Transformer-based Unsupervised Contrastive Learning for Histopatholo…
🧩 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…
🧩 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…
🧩 Astaxanthin/KEEP
Pathology·Medical specialty ·1.66 GB ·↓ 16,529 ·♥ 15
model = AutoModel.from_pretrained("Astaxanthin/KEEP", trust_remote_code=True) tokenizer = AutoTokenizer.from_pretrained("Astaxanthin/KEEP",…
🧩 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.
🧩 kaiko-ai/midnight
Pathology·Medical specialty ·4.55 GB ·↓ 16,790 ·♥ 25
Midnight - Training State-of-the-Art Pathology Foundation Models with Orders of Magnitude Less Data
🧩 owkin/phikon
Pathology·Medical specialty ·0.48 GB ·↓ 25,129 ·♥ 40
Phikon is a self-supervised learning model for histopathology trained with iBOT.
🧩 owkin/phikon-v2
Pathology·Medical specialty ·1.21 GB ·↓ 20,924 ·♥ 53
Phikon-v2 is a Vision Transformer Large pre-trained with Dinov2 self-supervised method on PANCAN-XL, a dataset of 450M 20x magnification his…
🧩 StonyBrook-CVLab/PixCell-256
Pathology·Medical specialty ·2.43 GB ·↓ 314 ·♥ 8
[[📄 arXiv]](https://arxiv.org/abs/2506.05127)[[GitHub]](https://github.com/cvlab-stonybrook/PixCell)[[🔬 PixCell-1024]](https://huggingface.c…
🧩 vinid/plip
Pathology·Medical specialty ·0.61 GB ·↓ 26,733 ·♥ 61
The model is intended as a research output for research communities. We hope that this model will enable researchers to better understand an…
🧩 wisdomik/QuiltNet-B-16
Pathology·Medical specialty ·1.2 GB ·↓ 1,560 ·♥ 4
QuiltNet-B-16 is a CLIP ViT-B/16 vision-language foundation model trained on the Quilt-1M dataset curated from representative histopathology…
🧩 wisdomik/QuiltNet-B-32
Pathology·Medical specialty ·1.88 GB ·↓ 3,811 ·♥ 29
QuiltNet-B-32 is a CLIP ViT-B/32 vision-language foundation model trained on the Quilt-1M dataset curated from representative histopathology…
🧩 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.