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
File size: 392 Bytes
3c76023 | 1 2 3 4 5 6 | x cell hoptaug hoptaug_sd phikon phikon_sd virchow2 virchow2_sd hibou hibou_sd rn50 rn50_sd
1 yy 0.8978 0.0104 0.8756 0.0047 0.8673 0.0086 0.7794 0.0119 0.7009 0.0427
2 tt 0.6685 0.0232 0.6690 0.0085 0.6336 0.0146 0.6442 0.0161 0.5517 0.0279
3 ty 0.7977 0.0172 0.8128 0.0191 0.7425 0.0349 0.7172 0.0299 0.6296 0.0149
4 yt 0.6562 0.0013 0.6606 0.0003 0.6541 0.0058 0.6309 0.0105 0.5606 0.0069
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