Using spatial-temporal ensembles of convolutional neural networks for lumen segmentation in ureteroscopy

PURPOSE: Ureteroscopy is an efficient endoscopic minimally invasive technique for the diagnosis and treatment of upper tract urothelial carcinoma. During ureteroscopy, the automatic segmentation of the hollow lumen is of primary importance, since it indicates the path that the endoscope should follo...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:Int J Comput Assist Radiol Surg
Hlavní autoři: Lazo, Jorge F., Marzullo, Aldo, Moccia, Sara, Catellani, Michele, Rosa, Benoit, de Mathelin, Michel, De Momi, Elena
Médium: Artigo
Jazyk:Inglês
Vydáno: Springer International Publishing 2021
Témata:
Original Article
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC8166718/
https://ncbi.nlm.nih.gov/pubmed/33909264
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s11548-021-02376-3
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo otaguje tento záznam!

Podobné jednotky