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COVID19 CT Segmentation in 3DSlicer

An extension module in 3DSlicer for COVID19 CT segmentation using Convolutional Neural Networks.

We trained a 2D ConvNet to segment lung and possible infected regions from patient CT scans. We then incorporated this ConvNet segmentation model into 3DSlicer.

This module requires Keras/Tensorflow, scikit-image, scipy, and numpy (all installed under 3DSlicer).

Location of the model can be changed in COVID19_CT_SEGMENTATION/ConvNetCovid/ConvNetCovid.py:

line 55: segmentation_model = load_model('xxx_Model.h5')

Example segmentation by our ConvNet model:

Screenshot of the extension module in 3DSlicer: