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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...
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. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2023
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Materias: | |
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 |
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