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 checkpointtest_summary_iou_dice.txt: evaluation summarymetrics.json: training/evaluation log from output directory
Notes
- This repo is private as requested.
- Data and labels are not included.
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