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

Deep learning for surgical phase recognition using endoscopic videos.

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

Publikováno v: Surgical Endoscopy & Other Interventional Techniques; Nov2021, Vol. 35 Issue 11, p6150-6157, 8p