Presents ATLAS-120k dataset and ATLAS model for context-aware surgical anatomy segmentation using foundation representations and temporal cues.
Intuitive Surgical SurgToolLoc and SurgVU Challenges Results: 2022-2025
2 Pith papers cite this work. Polarity classification is still indexing.
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abstract
Robotic assisted (RA) surgery promises to transform surgical intervention. Intuitive Surgical is committed to fostering these changes and the machine learning models and algorithms that will enable them. With these goals in mind we have invited the surgical data science community to participate in a yearly competition hosted through the Medical Imaging Computing and Computer Assisted Interventions (MICCAI) conference. With varying changes from year to year, we have challenged the community to solve difficult machine learning problems in the context of advanced RA applications. Here we document the results of these challenges, focusing on surgical tool localization (SurgToolLoc) and surgical visual understanding (SurgVU). The publicly released dataset that accompanies these challenges is detailed in a separate paper arXiv:2501.09209 [1].
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cs.CV 2verdicts
UNVERDICTED 2representative citing papers
Releases the SurgVU dataset of surgical videos and labels to enable machine learning research in surgical data science.
citing papers explorer
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Surgical Anatomy Recognition with Context Learning using Foundation Representations
Presents ATLAS-120k dataset and ATLAS model for context-aware surgical anatomy segmentation using foundation representations and temporal cues.
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Surgical Visual Understanding (SurgVU) Dataset
Releases the SurgVU dataset of surgical videos and labels to enable machine learning research in surgical data science.