Deep learning-based recognition of key anatomical structures during robot-assisted minimally invasive esophagectomy

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 perioperative morbidity and a considerable lear...

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Detalles Bibliográficos
Autores principales: den Boer, R. B., Jaspers, T. J. M., de Jongh, C., Pluim, J. P. W., van der Sommen, F., Boers, T., van Hillegersberg, R., Van Eijnatten, M. A. J. M., Ruurda, J. P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10322962/
https://www.ncbi.nlm.nih.gov/pubmed/36947221
http://dx.doi.org/10.1007/s00464-023-09990-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10322962/
https://www.ncbi.nlm.nih.gov/pubmed/36947221
http://dx.doi.org/10.1007/s00464-023-09990-z

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