Critical view of safety assessment in sentinel node dissection for endometrial and cervical cancer: artificial intelligence to enhance surgical safety and lymph node detection (LYSE study)
Articolo
Data di Pubblicazione:
2025
Citazione:
Pavone, M., Baby, B., Carles, E., Innocenzi, C., Baroni, A., Arboit, L., Murali, A., Rosati, A., Iacobelli, V., Fagotti, A., Fanfani, F., Akladios, C., Querleu, D., Bizzarri, N., Lecointre, L., Mascagni, P., Padoy, N., Scambia, G., Critical view of safety assessment in sentinel node dissection for endometrial and cervical cancer: artificial intelligence to enhance surgical safety and lymph node detection (LYSE study), <>, 2025; 35 (5): 391-398. [doi:10.1016/j.ijgc.2025.101789] [https://hdl.handle.net/10807/324982]
Abstract:
NA
Tipologia CRIS:
Articolo in rivista, Nota a sentenza
Keywords:
Computer Vision; Sentinel Lymph Node; Robot-Assisted Surgery; Image-Guided Surgery; Arti cial Intelligence; Digital Surgery; Gynecologic Oncology
Elenco autori:
Pavone, Matteo; Baby, Britty; Carles, Emma; Innocenzi, Chiara; Baroni, Alessandro; Arboit, Lorenzo; Murali, Aditya; Rosati, Andrea; Iacobelli, Valentina; Fagotti, Anna; Fanfani, Francesco; Akladios, Cherif; Querleu, Denis; Bizzarri, Nicolò; Lecointre, Lise; Mascagni, Pietro; Padoy, Nicolas; Scambia, Giovanni
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