Lung segmentation using AI • A transfer project by the Saxony⁵ university consortium

When treating patients with severe lung injuries, every second counts. There is often not enough time for the labour-intensive, two- to three-hour process of manually segmenting lung CT scans, yet this is sometimes necessary for an accurate diagnosis.

Prof. Mike Espig and his team at Zwickau University of Applied Sciences, in collaboration with Prof. Andreas Reske, Chief Consultant at the Heinrich Braun Hospital in Zwickau, developed an artificial intelligence system that enables the segmentation of lung CT scans in just nine to 14 seconds whilst making precise predictions. It could provide effective support to doctors in the future.

Saxony⁵ is a collaborative project between five Saxon universities: Zittau/Görlitz University of Applied Sciences, HTW Dresden, Leipzig University of Applied Sciences, Zwickau University of Applied Sciences and Mittweida University of Applied Sciences. This project aims to put new, innovative solutions to the challenges facing the regional economy and society into practice.

Produced by the Cluster for Media-Based Knowledge and Technology Transfer at HSMW and HTWK Leipzig.

https://fuenf-jahre.saxony5.de/projekte/neue-zielgruppe-saxony5-junior.html

The Data Science Research Group at WHZ:

https://dsrg.fh-zwickau.de/

The Heinrich Braun Hospital in Zwickau:

https://www.heinrich-braun-klinikum.de

Further information on Saxony⁵: www.saxony5.de

_{Text and image: Saxony5}