Online surgical phase recognition

8 papers with code • 0 benchmarks • 1 datasets

Online surgical phase recognition: the first 40 videos to train, the last 40 videos to test.

Datasets


Most implemented papers

EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic Videos

YuemingJin/TMRNet 9 Feb 2016

In the literature, two types of features are typically used to perform this task: visual features and tool usage signals.

Not End-to-End: Explore Multi-Stage Architecture for Online Surgical Phase Recognition

ChinaYi/casual_tcn 10 Jul 2021

To address the problem, we propose a new non end-to-end training strategy and explore different designs of multi-stage architecture for surgical phase recognition task.

Learning from a tiny dataset of manual annotations: a teacher/student approach for surgical phase recognition

camma-public/tf-cholec80 30 Nov 2018

Vision algorithms capable of interpreting scenes from a real-time video stream are necessary for computer-assisted surgery systems to achieve context-aware behavior.

SKiT: a Fast Key Information Video Transformer for Online Surgical Phase Recognition

mruil/skit ICCV 2023

We highlight that the inference time of SKiT is constant, and independent from the input length, making it a stable choice for keeping a record of important global information, that appears on long surgical videos, essential for phase recognition.

LoViT: Long Video Transformer for Surgical Phase Recognition

MRUIL/LoViT 15 May 2023

Our results demonstrate the effectiveness of our approach in achieving state-of-the-art performance of surgical phase recognition on two datasets of different surgical procedures and temporal sequencing characteristics whilst introducing mechanisms that cope with long videos.

MuST: Multi-Scale Transformers for Surgical Phase Recognition

BCV-Uniandes/MuST 24 Jul 2024

Phase recognition in surgical videos is crucial for enhancing computer-aided surgical systems as it enables automated understanding of sequential procedural stages.

DACAT: Dual-stream Adaptive Clip-aware Time Modeling for Robust Online Surgical Phase Recognition

kk42yy/dacat 10 Sep 2024

In the other stream, DACAT fine-tunes a new frame encoder to extract the frame-wise feature at the current moment.

SurgPLAN++: Universal Surgical Phase Localization Network for Online and Offline Inference

lxj22/surgplan-plus 19 Sep 2024

To ensure a global understanding of the surgical procedure, we devise a phase localization strategy for SurgPLAN++ to predict phase segments across the entire video through phase proposals.