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: 643 Bytes
3c76023 | 1 2 3 4 5 6 | x cell hoptaug hoptaug_sd hoptrep hoptrep_sd hoptcard hoptcard_sd hoptcm hoptcm_sd hopt1um hopt1um_sd midnight midnight_sd midnightcm midnightcm_sd midnight1um midnight1um_sd
1 yy 0.8978 0.0104 0.8954 0.0143 0.8868 0.0072 0.8925 0.0157 0.9088 0.0066 0.8064 0.0091 0.8114 0.0112 0.8013 0.0060
2 tt 0.6685 0.0232 0.6683 0.0145 0.6755 0.0162 0.6723 0.0179 0.6591 0.0153 0.5970 0.0028 0.6105 0.0084 0.5858 0.0127
3 ty 0.7977 0.0172 0.7871 0.0310 0.8100 0.0116 0.8028 0.0253 0.8033 0.0109 0.7163 0.0086 0.7337 0.0209 0.7243 0.0269
4 yt 0.6562 0.0013 0.6562 0.0052 0.6531 0.0078 0.6630 0.0057 0.6419 0.0071 0.6240 0.0039 0.6376 0.0039 0.6087 0.0054
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