Object Detection
ultralytics
yolov11
neuropathology
medical-imaging
tdp-43
frontotemporal-dementia
als
Instructions to use Center-for-Computational-Neuropathology/TDP-43 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use Center-for-Computational-Neuropathology/TDP-43 with ultralytics:
from ultralytics import YOLOvv11 model = YOLOvv11.from_pretrained("Center-for-Computational-Neuropathology/TDP-43") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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- **mAP**: 0.520
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- **Accuracy**: 94.2% (highly specific)
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- **Strategy**: Conservative detection with low false positive rate
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- **Training**: Early termination due to validation instabilities
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- **Dataset**: 9 WSI with ~450 expert annotations
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## Quick Start
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- **mAP**: 0.520
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- **Accuracy**: 94.2% (highly specific)
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- **Dataset**: 9 WSI with ~450 expert annotations
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## Quick Start
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