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.
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Most implemented papers
EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic Videos
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
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.