Pulmonary Lobe Segmentation

About

Creators:

weiyixie

jacobsc

BramVanGinneken

Contact email:

weiji.xie@radboudumc.nl

Image Version:

c0722dad-3036-454e-89ad-7f18cec46cae

Last updated:

Sept. 21, 2022, 9:54 a.m.

Associated publication:

Xie W, Jacobs C, Charbonnier J-P, van Ginneken B. Relational Modeling for Robust and Efficient Pulmonary Lobe Segmentation in CT Scans. IEEE Trans Med Imaging. 2020;39(8):2664-2675.

Interfaces

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

	Inputs	Outputs
1	CT Image (Image)	Results JSON File (Anything) Pulmonary Lobes (Segmentation) Pulmonary Lobes Screenshot (Image)

Model Facts

Summary

Automatic segmenting of pulmonary lobes from a given chest CT scan using a contextual two-stage U-Net architecture, validated on COPD and COVID-19 scans.

Mechanism

The paper is available on https://arxiv.org/abs/2004.07443 and in the COVID-19 special issue of IEEE Transactions on Medical Imaging.

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