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001-es BibID:BIBFORM121132
Első szerző:Serban Norbert
Cím:Distinguishing the Uterine Artery, the Ureter, and Nerves in Laparoscopic Surgical Images Using Ensembles of Binary Semantic Segmentation Networks / Norbert Serban, David Kupas, Andras Hajdu, Peter Török, Balazs Harangi
Dátum:2024
ISSN:1424-8220
Megjegyzések:Performing a minimally invasive surgery comes with a significant advantage regarding rehabilitating the patient after the operation. But it also causes difficulties, mainly for the surgeon or expert who performs the surgical intervention, since only visual information is available and they cannot use their tactile senses during keyhole surgeries. This is the case with laparoscopic hysterectomy since some organs are also difficult to distinguish based on visual information, making laparoscope-based hysterectomy challenging. In this paper, we propose a solution based on semantic segmentation, which can create pixel-accurate predictions of surgical images and differentiate the uterine arteries, ureters, and nerves. We trained three binary semantic segmentation models based on the U-Net architecture with the EfficientNet-b3 encoder; then, we developed two ensemble techniques that enhanced the segmentation performance. Our pixel-wise ensemble examines the segmentation mapof the binary networks on the lowest level of pixels. The other algorithm developed is a regionbased ensemble technique that takes this examination to a higher level and makes the ensemble based on every connected component detected by the binary segmentation networks. We also introduced and trained a classic multi-class semantic segmentation model as a reference and compared it to the ensemble-based approaches. We used 586 manually annotated images from 38 surgical videos for this research and published this dataset.
Tárgyszavak:idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
laparoscopic hysterectomy
semantic segmentation
ensemble model
Megjelenés:Sensors. - 24 : 9 (2024), p. 1-12. -
További szerzők:Kupás Dávid (1996-) (programtervező informatikus) Hajdu András (1973-) (matematikus, informatikus) Török Péter (1975-) (szülész-nőgyógyász) Harangi Balázs (1986-) (programtervező matematikus)
Pályázati támogatás:TKP2021-NKTA-34
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