Endoscopy and Computer Vision
EnCoV means Endoscopy and Computer Vision. It is a research group of Université Clermont Auvergne, CHU de Clermont-Ferrand and CNRS, and a member of the Image-Guided Therapy department of Institut Pascal. The latter is a joint research unit with code UMR6602 of CNRS, Université Clermont Auvergne and SIGMA Clermont. EnCoV conducts scientific, clinical and interdisciplinary research. This research is focused in, respectively, computer vision, endoscopy and computer-aided medical diagnosis and intervention.
Computer vision is the part of computer science which studies the automatic interpretation of digital images and videos. EnCoV is especially interested in image registration and 3D reconstruction. Endoscopy is to look inside the body using a camera, called an endoscope. EnCoV is especially interested in two types of endoscopy. The first type is laparoscopy, which is for the abdominopelvic cavity, in gynecology and hepatology. Laparoscopy is part of Minimal Invasive Surgery. The second type is colonoscopy, which is for the large intestine. EnCoV researches at the frontier of computer vision and medicine, by developing algorithms and testing them on simulated, phantom, animal and patient models. In laparoscopy, EnCoV's systems aid intervention by combining preoperative data with the intraoperative laparoscope's video stream using Augmented Reality. In colonoscopy, EnCoV's systems aid diagnosis by providing polyp size measurement and class recognition tools.
EnCoV begun in January 2017, as a follow-up of ALCoV. ALCoV was created ex-nihilo in late 2009 by Adrien Bartoli and Michel Canis, who are now heading EnCoV. ALCoV was top-graded A+ by AERES in May 2011 and soon after entered CNRS. It officially existed for the 5-year period between 2012-2016. It was centred on laparoscopy and generalized to endoscopy when transformed to EnCoV. EnCoV was approved by HCERES in December 2015 for the 5-year period between 2017-2021.
Website created and maintained by Adrien Bartoli.