Vision for Endometriosis
How it started and why
Even for specialized physicians, the visual versatility of some Endometriosis lesions makes them hard to identify. Further, the surgery environment obviates the detection of subtle lesions which form the most common type of Endometriosis.
Dr. Seckin is a pioneer in the surgical treatment of endometriosis with immense experience. Aiming to pass on his immense experience to young surgeons, we have configured a system for automatic detection of Endometriosis which is able to work real-time during laparasocopic surgeries.
Our medical image analysis technology uses a customized machine-learning model adapted to recognize subtle Endometriosis lesions based on a unique and extensive dataset.
Dr. Seckin, March 8, 2019 - Lenox Hill Hospital, NYC