---
license: mit
tags:
- yolov11
- object-detection
- neuropathology
- medical-imaging
- tdp-43
- frontotemporal-dementia
- als
library_name: ultralytics
pipeline_tag: object-detection
---

# TDP-43 Inclusion Detection (YOLOv11)

Automated detection of TDP-43 inclusions in histopathological images for frontotemporal dementia (FTD), amyotrophic lateral sclerosis (ALS) and Limbic-predominant Age-related TDP-43 Encephalopathy (LATE)

## Performance

- **mAP**: 0.520
- **Accuracy**: 94.2% (highly specific)
- **Dataset**: 9 WSI with ~450 expert annotations

## Quick Start

```python
from ultralytics import YOLO
from huggingface_hub import hf_hub_download

# Download and load model
model_path = hf_hub_download(
    repo_id="Center-for-Computational-Neuropathology/TDP-43",
    filename="best.pt"
)
model = YOLO(model_path)

# Run inference (use higher confidence for clinical use)
results = model.predict("tdp43_stained_image.jpg", conf=0.4, imgsz=640)
```

## Clinical Relevance

Detects TDP-43 inclusions in:
- Frontotemporal Dementia (FTD)
- Amyotrophic Lateral Sclerosis (ALS)
- FTLD-TDP subtypes
- Limbic-predominant Age-related TDP-43 Encephalopathy (LATE)

## Key Features

✅ **94.2% accuracy** - High specificity, low false positives  
✅ Conservative strategy ideal for clinical screening  
✅ Reliable when detection is made  
⚠️ May miss subtle or atypical inclusions  

## Training Insights

This model required **early termination** due to validation instabilities, highlighting the unique computational challenges of TDP-43 morphology compared to other pathologies (e.g., Lewy bodies achieved stable 196-epoch training).

## Limitations

- Conservative approach may miss subtle inclusions
- Requires TDP-43 immunohistochemistry (phospho-TDP-43)
- Cannot distinguish TDP-43 types (A, B, C, etc.)
- Requires expert validation for clinical use

## Citation

```bibtex
@article{neuropath_yolo_2025,
  title={Automated Detection of Neurodegenerative Pathology Using YOLOv11},
  author={[Authors]},
  journal={[Journal]},
  year={2025}
}
```