AeroPath: An airway segmentation benchmark dataset with challenging pathology. (arXiv:2311.01138v1 [cs.CV])

To improve the prognosis of patients suffering from pulmonary diseases, such
as lung cancer, early diagnosis and treatment are crucial. The analysis of CT
images is invaluable for diagnosis, whereas high quality segmentation of the
airway tree are required for intervention planning and live guidance during
bronchoscopy. Recently, the Multi-domain Airway Tree Modeling (ATM'22)
challenge released a large dataset, both enabling training of deep-learning
based models and bringing substantial improvement of the state-of-the-art for
the airway segmentation task. However, the …

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