3 papers
eess.IV2021
A transfer-learning approach for lesion detection in endoscopic images from the urinary tract
Jorge F. Lazo, Sara Moccia, Aldo Marzullo +5
Ureteroscopy and cystoscopy are the gold standard methods to identify and treat tumors along the urinary tract. It has been reported that during a normal procedure a rate of 10-20…
eess.IV2021
Using spatial-temporal ensembles of convolutional neural networks for lumen segmentation in ureteroscopy
Jorge F. Lazo, Aldo Marzullo, Sara Moccia +4
Purpose: Ureteroscopy is an efficient endoscopic minimally invasive technique for the diagnosis and treatment of upper tract urothelial carcinoma (UTUC). During ureteroscopy, the a…
eess.IV2021
A Lumen Segmentation Method in Ureteroscopy Images based on a Deep Residual U-Net architecture
Jorge F. Lazo, Aldo Marzullo, Sara Moccia +4
Ureteroscopy is becoming the first surgical treatment option for the majority of urinary affections. This procedure is performed using an endoscope which provides the surgeon with…