RSDNet: Learning to Predict Remaining Surgery Duration from Laparoscopic Videos Without Manual Annotations

Research article (IEEE Transactions on Medical Imaging, 2018) · cited 124× · AI/ML
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RSDNet: Learning to Predict Remaining Surgery Duration from Laparoscopic Videos Without Manual Annotations

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RSDNet: Learning to Predict Remaining Surgery Duration from Laparoscopic Videos Without Manual Annotations is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). RSDNet: Learning to Predict Remaining Surgery Duration from Laparoscopic Videos Without Manual Annotations. Retrieved May 24, 2026, from https://4ort.xyz/entity/rsdnet-learning-to-predict-remaining-surgery-duration-from-laparoscopic-videos-without-manual-annotations
MLA “RSDNet: Learning to Predict Remaining Surgery Duration from Laparoscopic Videos Without Manual Annotations.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/rsdnet-learning-to-predict-remaining-surgery-duration-from-laparoscopic-videos-without-manual-annotations.
BibTeX @misc{4ortxyz_rsdnet-learning-to-predict-remaining-surgery-duration-from-laparoscopic-videos-without-manual-annotations_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{RSDNet: Learning to Predict Remaining Surgery Duration from Laparoscopic Videos Without Manual Annotations}}, year = {2026}, url = {https://4ort.xyz/entity/rsdnet-learning-to-predict-remaining-surgery-duration-from-laparoscopic-videos-without-manual-annotations}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): RSDNet: Learning to Predict Remaining Surgery Duration from Laparoscopic Videos Without Manual Annotations — https://4ort.xyz/entity/rsdnet-learning-to-predict-remaining-surgery-duration-from-laparoscopic-videos-without-manual-annotations (retrieved 2026-05-24)

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