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: 631 Bytes
3c76023 | 1 2 3 4 5 6 | x cell d15rand d15rand_sd d15s50k d15s50k_sd d15final d15final_sd d16rand d16rand_sd d16s50k d16s50k_sd d16final d16final_sd s16s50 s16s50_sd s16final s16final_sd
1 yy 0.7616 0.0241 0.7718 0.0161 0.7923 0.0214 0.7922 0.0088 0.8143 0.0083 0.8196 0.0197 0.7808 0.0174 0.7675 0.0267
2 tt 0.5474 0.0242 0.5688 0.0093 0.5878 0.0072 0.5922 0.0143 0.6361 0.0038 0.6228 0.0229 0.6085 0.0042 0.5891 0.0128
3 ty 0.6205 0.0347 0.7244 0.0175 0.6512 0.0293 0.7387 0.0281 0.7393 0.0173 0.7443 0.0219 0.5499 0.0167 0.5841 0.0385
4 yt 0.5288 0.0026 0.5576 0.0113 0.5526 0.0017 0.5632 0.0016 0.6215 0.0038 0.5930 0.0059 0.5281 0.0060 0.5205 0.0029
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