Zobrazeno 1 - 2
of 2
pro vyhledávání: '"T. J. M. Jaspers"'
Autor:
R. B. den Boer, T. J. M. Jaspers, C. de Jongh, J. P. W. Pluim, F. van der Sommen, T. Boers, R. van Hillegersberg, M. A. J. M. Van Eijnatten, J. P. Ruurda
Publikováno v:
Surgical Endoscopy.
Objective To develop a deep learning algorithm for anatomy recognition in thoracoscopic video frames from robot-assisted minimally invasive esophagectomy (RAMIE) procedures using deep learning. Background RAMIE is a complex operation with substantial
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f8617202ad494be0ee2e37f87ba49d2e
https://doi.org/10.1007/s00464-023-09990-z
https://doi.org/10.1007/s00464-023-09990-z
Autor:
R. B. den Boer, C. de Jongh, W. T. E. Huijbers, T. J. M. Jaspers, J. P. W. Pluim, R. van Hillegersberg, M. Van Eijnatten, J. P. Ruurda
Publikováno v:
den Boer, R B, de Jongh, C, Huijbers, W T E, Jaspers, T J M, Pluim, J P W, van Hillegersberg, R, van Eijnatten, M & Ruurda, J P 2022, ' Computer-aided anatomy recognition in intrathoracic and-abdominal surgery : a systematic review ', Surgical Endoscopy, vol. 36, no. 12, pp. 8737-8752 . https://doi.org/10.1007/s00464-022-09421-5
Background Minimally invasive surgery is complex and associated with substantial learning curves. Computer-aided anatomy recognition, such as artificial intelligence-based algorithms, may improve anatomical orientation, prevent tissue injury, and imp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::33187d4337d3762515e721308fbcf348
https://research.vumc.nl/en/publications/c1dbe2fe-a5f9-4dce-a43b-fb0efc3bf491
https://research.vumc.nl/en/publications/c1dbe2fe-a5f9-4dce-a43b-fb0efc3bf491
