Image Feature Extraction
timm
Safetensors
pathology
histopathology
her2
breast-cancer
h-and-e
vision-transformer
multiple-instance-learning
Instructions to use cloudkites/her2-reader with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use cloudkites/her2-reader with timm:
import timm model = timm.create_model("hf-hub:cloudkites/her2-reader", pretrained=True) - Notebooks
- Google Colab
- Kaggle
Download data/paper/paper-data/table_v23.tex from cloudkites/her2-reader: direct link, hf CLI and curl.
- Browser
- Download file 1.83 kB
-
https://huggingface.co/cloudkites/her2-reader/resolve/main/data/paper/paper-data/table_v23.tex
- Command line
-
hf download hf://cloudkites/her2-reader/data/paper/paper-data/table_v23.tex
-
curl -L -o table_v23.tex https://huggingface.co/cloudkites/her2-reader/resolve/main/data/paper/paper-data/table_v23.tex
1.83 kB
| % Generated by docs/paper/paper_data.py from ../training/data/m5_macros.tex | |
| \begin{tabularx}{\linewidth}{@{}>{\raggedright\arraybackslash}X cccc@{}} | |
| \toprule | |
| encoder & Yale$\to$Yale & TCGA$\to$TCGA & TCGA$\to$Yale & Yale$\to$TCGA \\ | |
| \midrule | |
| \multicolumn{5}{@{}l}{\emph{Released encoders}} \\ | |
| \quad Phikon (ViT-B/16, 86M) & 0.872 (0.014) & 0.679 (0.012) & 0.811 (0.014) & 0.662 (0.003) \\ | |
| \quad H-optimus-0 (ViT-g/14, 1.1B) & 0.897 (0.012) & 0.676 (0.017) & 0.805 (0.020) & 0.653 (0.010) \\ | |
| \quad Hibou-B (ViT-B/14, 86M) & 0.786 (0.025) & 0.626 (0.011) & 0.749 (0.027) & 0.637 (0.011) \\ | |
| \quad Midnight-12k (ViT-g/14, 1.1B) & 0.834 (0.018) & 0.623 (0.019) & 0.727 (0.029) & 0.638 (0.005) \\ | |
| \quad ResNet-50, ImageNet (26M) & 0.700 (0.022) & 0.545 (0.017) & 0.638 (0.022) & 0.568 (0.015) \\ | |
| \quad DINOv2 ViT-S/14, natural images (22M) & 0.676 (0.029) & 0.495 (0.016) & 0.589 (0.016) & 0.573 (0.009) \\ | |
| \multicolumn{5}{@{}l}{\emph{Our ViT-S/16 after each stage}} \\ | |
| \quad Stage 1: self-supervised & 0.761 (0.027) & 0.589 (0.020) & 0.589 (0.047) & 0.520 (0.006) \\ | |
| \quad Stage 2: distilled (step 25,000) & 0.858 (0.022) & 0.705 (0.009) & 0.762 (0.011) & 0.625 (0.007) \\ | |
| \quad Stage 3, JEPA round 1, seed 3 & 0.848 (0.015) & 0.689 (0.014) & 0.798 (0.011) & 0.642 (0.009) \\ | |
| \quad Stage 3, JEPA round 1, seed 4 & 0.851 (0.014) & 0.687 (0.019) & 0.792 (0.016) & 0.642 (0.008) \\ | |
| \quad Stage 3, JEPA round 1, seed 5 & 0.850 (0.012) & 0.687 (0.018) & 0.795 (0.014) & 0.643 (0.008) \\ | |
| \quad Stage 3, JEPA round 2 from seed 3 (final) & 0.844 (0.022) & 0.690 (0.012) & 0.812 (0.015) & 0.650 (0.008) \\ | |
| \quad Stage 3, JEPA round 2 from seed 4 & 0.847 (0.018) & 0.681 (0.016) & 0.812 (0.010) & 0.651 (0.006) \\ | |
| \quad Stage 3, JEPA round 2 from seed 5 & 0.853 (0.019) & 0.685 (0.013) & 0.810 (0.015) & 0.652 (0.007) \\ | |
| \bottomrule | |
| \end{tabularx} | |