This is a 3D Slicer extension for segmentation and spatial reconstruction of infiltrated, collapsed, and emphysematous areas in lung CT.
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Updated
Oct 4, 2024 - Python
This is a 3D Slicer extension for segmentation and spatial reconstruction of infiltrated, collapsed, and emphysematous areas in lung CT.
Repository processes CT scanned images of human Lungs , which are in DICOM image format. Visualises the data in 3D and trains a 3D convolution network on the data after preprocessing.
This repository implements "A multichannel feature-based approach for longitudinal lung CT registration in the presence of radiation-induced lung damage" using the Pulmonary Toolkit and NiftyReg. It is based on research related to radiation-induced lung damage.
The website of VN AIDr project
Effects of lipid turnover and glycemia on pulmonary COVID-19 recovery
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