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AIIB23 (Airway-Informed Quantitative CT Imaging Biomarker for Fibrotic Lung Disease-MICCAI2023)

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Context

Airway-related quantitative imaging biomarkers (QIB) are crucial for examination, diagnosis, and prognosis in lung diseases, while the manual delineation of airway structures is unduly burdensome. Competitors are encouraged to devise automatic airway segmentation models with high robustness and generalization abilities. This challenge is an open-call challenge and new submissions are allowed after the conference.

How to participate in AIIB23?

Register the challenge from https://codalab.lisn.upsaclay.fr/competitions/13076#participate
It is of note that you need to send the registeration form to the organizers.

How to pakage and submit docker files

Please refer to our tutorial.

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