Research Group CAMMA's repositories
MVOR
Multi-View Operating Room (MVOR) dataset consists of synchronized multi-view frames recorded by three RGB-D cameras in a hybrid OR during real clinical interventions. We provide camera calibration parameters, color and depth frames, human bounding boxes, and 2D/3D pose annotations. The MVOR was released in the MICCAI-LABELS 2018 workshop.
ConvLSTM-Surgical-Tool-Tracker
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.
ORPose-Depth
Inference demo and evaluation scripts for the MICCAI-2019 paper "Human Pose Estimation on Privacy-Preserving Low-Resolution Depth Images"
Surgical-Phase-Recognition
Demo for surgical phase recognition on videos of laparoscopic cholecystectomy using a CNN-biLSTM-CRF model presented in "Learning from a tiny dataset of manual annotations: a teacher/student approach for surgical phase recognition" (IPCAI 2019)
cvs_annotator
Application for reviewing and annotating frames with critical view of safety (CVS) criteria and other relevant information