DRENDS: A Dataset for Depth in Robotic Endoscopy with Dynamic Scenarios

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Depth perception in robotic minimally invasive surgery remains a critical challenge for many downstream tasks, demanding advanced depth estimation techniques and ground truth data for their…

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Category: Data & Standards
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License: CC-BY-4.0(cc)
Status: unknown
Maturity: prototype
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Country: unknown
Homepage: zenodo.org/records/17598453
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zenodo.org/records/17598453
retrieved 2026-08-11 · via zenodo
Machine-imported from a Zenodo search for ""open source" AND (surgical OR surgery)". Zenodo deposition DOI 10.5281/zenodo.17598453. Licence as declared on the deposition. Unreviewed.

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