EndoluminalSurgicalVision-IMR/ATM-22-Related-Work
[MedIA 2023/MICCAI 2022 Grand Challenge]: Airway Tree Modeling (ATM'22) Related Work Collections, also includes the state-of-the-art works on pulmonary airway segmentation and related works.
This project helps medical researchers and clinicians accurately analyze lung CT scans by providing a benchmark for airway tree modeling. It takes raw CT images of lungs as input and generates detailed segmentations of the airway tree, allowing for precise measurements and analysis of pulmonary structures. The primary users are medical imaging scientists, radiologists, and pulmonologists involved in research or clinical studies related to respiratory health.
163 stars.
Use this if you are a medical researcher or clinician needing to segment and analyze the pulmonary airway tree from CT scans for research, diagnosis, or treatment planning.
Not ideal if you are looking for a general medical image segmentation tool for organs other than the pulmonary airway tree.
Stars
163
Forks
24
Language
Python
License
MIT
Category
Last pushed
Jan 15, 2026
Commits (30d)
0
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