This technical report presents MOSaiC 3.6.2, a web-based collaborative platform designed for the annotation and evaluation of medical videos. MOSaiC is engineered to facilitate video-based assessment and accelerate surgical data science projects. We provide an overview of MOSaiC's key functionalities, encompassing group and video management, annotation tools, ontologies, assessment capabilities, and user administration. Finally, we briefly describe several medical data science studies where MOSaiC has been instrumental in the dataset development.
Cite
@article{arxiv.2312.08593,
title = {MOSaiC: a Web-based Platform for Collaborative Medical Video Assessment and Annotation},
author = {Jean-Paul Mazellier and Antoine Boujon and Méline Bour-Lang and Maël Erharhd and Julien Waechter and Emilie Wernert and Pietro Mascagni and Nicolas Padoy},
journal= {arXiv preprint arXiv:2312.08593},
year = {2023}
}