A repository for surgical action triplet dataset. Data are videos of laparoscopic cholecystectomy that have been annotated with <instrument, verb, target> labels for every surgical fine-grained activity.
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Updated
Aug 7, 2023 - Python
A repository for surgical action triplet dataset. Data are videos of laparoscopic cholecystectomy that have been annotated with <instrument, verb, target> labels for every surgical fine-grained activity.
Official repository for "Dissecting Self-Supervised Learning Methods for Surgical Computer Vision"
SSG-VQA is a Visual Question Answering (VQA) dataset on laparoscopic videos providing diverse, geometrically grounded, unbiased and surgical action-oriented queries generated using scene graphs.
Collated a list of useful open-access work related to surgical phase recognition and surgical skills and workflow analysis.
[MICCAI'22] AutoLaparo: A New Dataset of Integrated Multi-tasks for Image-guided Surgical Automation in Laparoscopic Hysterectomy
Visualization of dataset splits for surgical phase and instrument recognition
A curated list of surgical AI resources (continually updated)
Application for reviewing and annotating frames with critical view of safety (CVS) criteria and other relevant information
Surgical Gesture Recognition Using Multi-Encoder Based Architecture.
FASTRL is a a set of benchmark tasks used in surgical training which are adapted to the reinforcement learning setting for the purpose of training agents capable of providing assistance to the surgical trainees. The benchmark is provided with the purpose of exploring the domain of human-centric teaching agents within the learning-to-teach formalism
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