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.
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