---
tags:
- detectron2
- pointrend
- semantic-segmentation
- medical-imaging
- thyroid
library_name: detectron2
---

# Thyroid PointRend Semantic Segmentation

This model is a PointRend-based semantic segmentation checkpoint fine-tuned for thyroid lesion mask prediction.

## Base Framework

- Detectron2 PointRend
- Custom semantic segmentation fine-tuning workflow in `projects/PointRend/inference_thyroid.ipynb`

## Test Metrics (ThyroidXL test split)

- num_images: 2094
- mean_iou: 0.742992
- mean_dice: 0.835550
- micro_iou: 0.777697
- micro_dice: 0.874949

## Inference Settings Used For Export

- subdivision_steps: 7
- subdivision_num_points: 224 * 224

## Files

- `model_final.pth`: fine-tuned checkpoint
- `test_summary_iou_dice.txt`: evaluation summary
- `metrics.json`: training/evaluation log from output directory

## Notes

- This repo is private as requested.
- Data and labels are not included.