Deep learning for surgical phase recognition using endoscopic videos

Autor: Andru Putra Twinanda, Quirijn A J Eijsbouts, Helena A Kloosterman, Annetje C. P. Guédon, Matthijs C M Grimbergen, Karlijn J van Stralen, John J. van den Dobbelsteen, Senna E P Meij, Karim N M M H Osman

Publikováno v: Surgical Endoscopy, 35(11), 6150-6157. Springer New York
Surgical Endoscopy: surgical and interventional techniques (online), 35 (2021)(11)
Guédon, A C P, Meij, S E P, Osman, K N M M H, Kloosterman, H A, van Stralen, K J, Grimbergen, M C M, Eijsbouts, Q A J, van den Dobbelsteen, J J & Twinanda, A P 2021, ' Deep learning for surgical phase recognition using endoscopic videos ', Surgical Endoscopy, vol. 35, no. 11, pp. 6150-6157 . https://doi.org/10.1007/s00464-020-08110-5

Background: Operating room planning is a complex task as pre-operative estimations of procedure duration have a limited accuracy. This is due to large variations in the course of procedures. Therefore, information about the progress of procedures is

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7b1daa785dd92c75b482d6bd79e14ad2
https://research.vumc.nl/en/publications/c9d1b380-9aef-442b-ba49-905430ada2c9