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This repo contains an implementation code for the weakly supervised surgical tool tracker. In this research, the temporal dependency in surgical video data is modeled using a convolutional LSTM which is trained only on image level labels to detect, localize and track surgical instruments.
Code for Surgical Skill Assessment via Video Semantic Aggregation (MICCAI 2022)
Visualization of dataset splits for surgical phase and instrument recognition
A curated list of surgical AI resources (continually updated)