1aurent/vit_small_patch16_256.tcga_brca_dino

https://huggingface.co/1aurent/vit_small_patch16_256.tcga_brca_dino
Staleby 1aurent821updated 3 years ago
Python

A Vision Transformer (ViT) image classification model. \ Trained on 2M histology patches from TCGA-BRCA.

Sourced from

  • HuggingFace — 1aurent/vit_small_patch16_256.tcga_brca_dino

Related resources

A Vision Transformer (ViT) image classification model. \ Trained on 15M histology patches from PAIP and TCGA. \ Used the MoCo v3 self supervised learning method.

Stale192 years ago
Python

A Vision Transformer (ViT) image classification model. \ Trained by Owkin on 40 million pan-cancer histology tiles from TCGA-COAD.

Stale1K2 years ago
Python

A Vision Transformer (ViT) image classification model. \ Trained by Owkin on 40M pan-cancer histology tiles from TCGA. \ Fine-tuned on LC25000's lung subset.

Stale212 years ago
Python
Active955 months ago
Python

!fffffff.png

Idle271 year ago
Python

We provide a model for classifying whale species from images of their tails and fins.

Stale452 years ago
Python