RespiNet – A model for automated segmentation of lung structures.

FLUIDDA introduces RespiNet, a model for automated segmentation of lung structures.

 At the ECR 2023 conference in Vienna, FLUIDDA presents their deep learning model for the segmentation of the lobes and airway tree in volumetric, thin-slice CT scans called RespiNet.

RespiNet is developed by FLUIDDA and is a deep learning model for the segmentation of the lobes and airway tree in volumetric, thin-slice CT scans.

The presentation will be March 1sth, session RPS 405, 13.00-13.45 CET.

Categorised in: Miscellaneous, Presentation / February 28, 2023 2:46 pm / Published by Fluidda