Taiwan-CVAI/HeaortaNet

HeaortaNet is a pre-trained model for 3D segmentation of heart and aorta from non-contrast chest CT.

12
/ 100
Experimental

HeaortaNet helps radiologists and medical researchers quickly and accurately identify the heart and aorta in non-contrast chest CT scans. It takes a standard chest CT image as input and outputs a precise 3D segmentation, clearly outlining these key anatomical structures. This tool is designed for medical professionals involved in cardiac and vascular imaging analysis.

No commits in the last 6 months.

Use this if you need an automated, pre-trained model to precisely segment the heart and aorta from non-contrast chest CT scans for research or analysis.

Not ideal if you need a diagnostic tool for direct patient care, as this model is provided as an example and not intended for clinical use.

cardiology radiology medical-imaging CT-analysis anatomical-segmentation
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 4 / 25
Maturity 8 / 25
Community 0 / 25

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Language

Python

License

Last pushed

Jun 01, 2022

Commits (30d)

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