Hanseg23_Simple
About
Creator:
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Version:
e81f613d-7073-418f-acab-f95612862e18
Last updated:
Feb. 17, 2024, 7:56 a.m.
Inputs:
- CT Image (Any CT image)
- T1 MRI (Any T1 weighted MRI)
Outputs:
- Head and Neck Organ-at-Risk Segmentation (Head and Neck Organ-at-Risk Segmentation with the following labels: 0: 'background', 1: 'A_Carotid_L', 2: 'A_Carotid_R', 3: 'Arytenoid', 4: 'Bone_Mandible', 5: 'Brainstem', 6: 'BuccalMucosa', 7: 'Cavity_Oral', 8: 'Cochlea_L', 9: 'Cochlea_R', 10: 'Cricopharyngeus', 11: 'Esophagus_S', 12: 'Eye_AL', 13: 'Eye_AR', 14: 'Eye_PL', 15: 'Eye_PR', 16: 'Glnd_Lacrimal_L', 17: 'Glnd_Lacrimal_R', 18: 'Glnd_Submand_L', 19: 'Glnd_Submand_R', 20: 'Glnd_Thyroid', 21: 'Glottis', 22: 'Larynx_SG', 23: 'Lips', 24: 'OpticChiasm', 25: 'OpticNrv_L', 26: 'OpticNrv_R', 27: 'Parotid_L', 28: 'Parotid_R', 29: 'Pituitary', 30: 'SpinalCord')
Challenge Performance
| Date | Challenge | Phase | Rank |
|---|---|---|---|
| March 2, 2024 | HaN-Seg2023 | Post Challenge Phase | 5 |
Model Facts
Summary
ROI Extraction with Yolo Multiview 2d images inference with weights
Mechanism
ROI Extraction with Yolo Multiview 2d images inference with weights
Validation and Performance
Left empty by the Algorithm Editors
Uses and Directions
This algorithm was developed for research purposes only.
Warnings
Left empty by the Algorithm Editors
Common Error Messages
Left empty by the Algorithm Editors
Information on this algorithm has been provided by the Algorithm Editors, following the Model Facts labels guidelines from Sendak, M.P., Gao, M., Brajer, N. et al. Presenting machine learning model information to clinical end users with model facts labels. npj Digit. Med. 3, 41 (2020). 10.1038/s41746-020-0253-3