TeCNO: Surgical Phase Recognition with Multi-Stage Temporal Convolutional Networks

Automatic surgical phase recognition is a challenging and crucial task with the potential to improve patient safety and become an integral part of intra-operative decision-support systems.

Data and Resources

Cite this as

Tobias Czempiel, Magdalini Paschali, Matthias Keicher, Walter Simson, Hubertus Feussner, Seong Tae Kim, Nassir Navab (2024). Dataset: TeCNO: Surgical Phase Recognition with Multi-Stage Temporal Convolutional Networks. https://doi.org/10.57702/n5juwcha

DOI retrieved: December 16, 2024

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Created December 16, 2024
Last update December 16, 2024
Author Tobias Czempiel
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Magdalini Paschali
Matthias Keicher
Walter Simson
Hubertus Feussner
Seong Tae Kim
Nassir Navab
Homepage https://polyaxon.com/