Rib segmentation
About
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Version:
9e72b964-a65c-4b72-a565-4737c7849160
Last updated:
June 19, 2022, 6:09 p.m.
Inputs:
- CT Image (Any CT image)
- Vertebra (0: background, 1-7: C1-C7, 8-19: T1-T12, 20-25: L1-L6, and 101-125 for partially visible vertebrae.)
Outputs:
- Results JSON File (A collection of results of unknown type. Legacy, if possible please use alternative interfaces.)
- Ribs (0 = background, 101-112 = right ribs, 201-212: left ribs)
- Ribs Segmentation Thumbnail (A thumbnail depicting a segmentation of the ribs)
Model Facts
Summary
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Mechanism
This algorithm uses a neural network to segment the ribs in thoracic CT images. Anatomical labels of the ribs are derived from an anatomically labeled segmentation of the vertebrae.
Validation and Performance
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Uses and Directions
This algorithm was developed for research purposes only.
Warnings
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Common Error Messages
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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