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Automated detection of graft orientation in DMEK surgery

Development and validation of an automated algorithm to quantify the orientation of an DMEK graft using intraoperative optical coherence tomography (OCT) and implementing such a tool in clinical practice. Using a deep-learning based model the DMEK graft is segmented from the OCT image. Proof-of-concept model developed and tested. Negotiations with Zeiss for further development and implementation of the tool into clinical practice.

Alliance Institutes involved: UMCU, TU/e
PI’s: Robert Wisse (UMCU), Mitko Veta (TU/e), Josien Pluim (TU/e)

Collaboration partner: Zeiss