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Lung CT segmentation using 3D Slicer

This tutorial demonstrates how to use 3D Slicer's generic segmentation tools for lung segmentation. 3D Slicer is a free, open-source, and multi-platfo

This tutorial demonstrates how to use 3D Slicer’s generic segmentation tools for lung segmentation. 3D Slicer is a free, open-source, and multi-platform software package widely used for medical, biomedical, and related imaging research. The demonstrated process is recommended only for learning.

If you would like to make it a try, please go to the website 3D Slicer and download the program. You could use the sample inside the program to see a healthy lung CT scan. The program can run Python scripting. If you are unable to use a computer to see this program, we would like you to have a look at the video.

This is an additional video, hosted on YouTube.

For those who are studying their research, 3D slicer has a lot of plug-ins to set up. Here is the training manual.

Below are another tutorial using a 3D slicer to demo lung nodule. You could see how clinicians examine these CT photos.

This is an additional video, hosted on YouTube.

You are welcome to leave your comments on this program.

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Introduction to AI Applications in Pulmonary Medicine

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