Implementing image-based SSL methods for laparoscopic surgical video data

The proposed MITACS GRA project is part of the Human Surgeome Project at the German Cancer Center, which uses advanced machine learning and deep learning technologies to improve surgical practices. By analyzing large amounts of surgical video data, the project aims to enhance surgical training, skill assessment, and workflow. It will develop systems that provide real-time feedback to surgeons, helping to improve efficiency, safety, and decision-making during surgeries. Ultimately, this project seeks to make surgery safer and more standardized, reduce complications, and improve patient outcomes, making healthcare more efficient and evidence-based.

Faculty Supervisor:

Gabor Fichtinger

Student:

Partner:

Deutsches Krebsforschungszentrum

Discipline:

Engineering

Sector:

Artificial Intelligence; Health and Related Sciences & Technology

University:

Queen's University

Program: