egeozsoy/4D-OR
Official code of the paper 4D-OR: Semantic Scene Graphs for OR Domain Modeling accepted at MICCAI 2022. This repo includes both the dataset and our code.
This project helps medical researchers and AI developers working on surgical assistance systems to better understand and model activities in operating rooms. It processes 4D video and depth data of surgical procedures, along with automatically detected human poses and object bounding boxes, to generate detailed semantic scene graphs. These graphs show the objects present, their locations, and the roles of the medical personnel involved.
No commits in the last 6 months.
Use this if you need a comprehensive dataset and computational framework to analyze and model complex surgical environments for applications like surgical phase recognition or robotic assistance.
Not ideal if you are looking for a ready-to-use application for real-time surgical guidance or a tool outside of surgical scene understanding.
Stars
63
Forks
2
Language
Python
License
MIT
Category
Last pushed
Mar 29, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/computer-vision/egeozsoy/4D-OR"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
3DOM-FBK/deep-image-matching
Multiview matching with deep-learning and hand-crafted local features for COLMAP and other SfM...
suhangpro/mvcnn
Multi-view CNN (MVCNN) for shape recognition
zouchuhang/LayoutNet
Torch implementation of our CVPR 18 paper: "LayoutNet: Reconstructing the 3D Room Layout from a...
andyzeng/tsdf-fusion-python
Python code to fuse multiple RGB-D images into a TSDF voxel volume.
andyzeng/tsdf-fusion
Fuse multiple depth frames into a TSDF voxel volume.