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ai4surgery

Short tutorial supplementing the Neural Networks and Deep Learning chapter from Artificial Intelligence in Surgery: An AI Primer for Surgical Practice designed to offer hands-on experience with artificial neural networks to surgeons with little to no coding experience.

attention-tripnet

cholect45

Laparoscopic video dataset for surgical action triplet recognition

cholect50

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.

cholectrack20

cholectriplet2021

cholectriplet2022

CholecTriplet 2022 challenge on surgical action triplet detection

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.

cvs_annotator

Application for reviewing and annotating frames with critical view of safety (CVS) criteria and other relevant information

dexter

endogen

Surgical Text-To-Image Generation

endoscapes

Official Repository for the Endoscapes Dataset for Surgical Scene Segmentation, Object Detection, and Critical View of Safety Assessment

hpe-adaptor

Code for Unsupervised domain adaptation for clinician pose estimation and instance segmentation in the OR

indexity

Indexity is a web-based tool designed for medical video annotation in surgical data science projects.

ivtmetrics

A Python evaluation metrics package for surgical action triplet recognition

mcit-ig

med-moco

Overcoming Dimensional Collapse in Self-supervised Contrastive Learning for Medical Image Segmentation

multibypass140

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.

orpose-color

Inference demo for the MICCAI-2020 paper "Self-supervision on Unlabelled OR Data for Multi-person 2D/3D Human Pose Estimation"

orpose-depth

Inference demo and evaluation scripts for the MICCAI-2019 paper "Human Pose Estimation on Privacy-Preserving Low-Resolution Depth Images"

out-of-body-detector

Application for classifying out-of-body images in endoscopic videos

rendezvous

A transformer-inspired neural network for surgical action triplet recognition from laparoscopic videos.

rendezvous-in-time

rendezvous-in-time

scalingsurgicalssl

Official repository for "Jumpstarting Surgical Computer Vision"

selfpose3d

Official code for "SelfPose3d: Self-Supervised Multi-Person Multi-View 3d Pose Estimation"

selfsupsurg

Official repository for "Dissecting Self-Supervised Learning Methods for Surgical Computer Vision"

ssg-vqa

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.

surgical-imagen