Offline surgical phase recognition

2 papers with code • 0 benchmarks • 1 datasets

Offline 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.

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.