Hanseg23_Simple


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About

Creator:

User Mugshot jmlee 

Contact email:
Image Version:
e81f613d-7073-418f-acab-f95612862e18
Last updated:
Feb. 17, 2024, 7:56 a.m.

Interfaces

This algorithm implements all of the following input-output combinations:

Inputs Outputs
1
  • CT Image (Image)
  • T1 MRI (Image)
  • Head and Neck Organ-at-Risk Segmentation (Segmentation)
  • Challenge Performance

    Date Challenge Phase Rank
    March 2, 2024 HaN-Seg2023 Post Challenge Phase 9

    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

    Uses and Directions

    This algorithm was developed for research purposes only.

    Warnings

    Common Error Messages

    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