Florian Kordon: Digital Support in Surgery Planning
In his latest publication, Florian Kordon presents a “Multi-Stage Platform for (Semi-)Automatic Planning in Reconstructive Orthopedic Surgery”. He developed a deep-learning algorithm for anatomical feature detection, which enables precise pre- and intra-operative surgery planning based on 2D X-ray images. This enables real-time adjustments of the reconstruction plan even in the operating room and therefore may optimize the curative outcome for future patients.
Florian Kordon works at the Pattern Recognition Lab, his supervisor is Andreas Maier. The original publication can be found in the Journal of Imaging.