KidneyDepth: A Synthetic Kidney Dataset for Metric Depth Estimation in Ureteroscopy

Name: KidneyDepth: A Synthetic Kidney Dataset for Metric Depth Estimation in Ureteroscopy
Creator: Anonymized Authors
Keywords: SLAM, Ureteroscopy, Metric Depth Estimation

Research datakeyboard_double_arrow_right Dataset 20 Feb 2025Publisher:Zenodo

Authors: Anonymized Authors;

doi: 10.5281/zenodo.14893421

KidneyDepth: A Synthetic Kidney Dataset for Metric Depth Estimation in Ureteroscopy

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Abstract

Full dataset will be released upon acceptance. KidneyDepth is a dataset composed by synthetic ureteroscopic images generated by BlenderProc and real ureteroscopic images. The objectives of this dataset are to generate ground truth maps for fine-tuning and evaluating metric depth estimation models (KidneyDepthMetric), to visually evaluate them on real endoscopic kidney images (KidneyDepthfURS), and to evaluate the estimated trajectories of a SLAM system (KidneyDepthSLAM).

Keywords

SLAM, Ureteroscopy, Metric Depth Estimation

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KidneyDepth: A Synthetic Kidney Dataset for Metric Depth Estimation in Ureteroscopy
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