26 citations · 45 across the 4 of their papers we have counts for
4 papers
Boosting Kidney Stone Identification in Endoscopic Images Using Two-Step Transfer Learning
Francisco Lopez-Tiro, Juan Pablo Betancur-Rengifo, Arturo Ruiz-Sanchez +6
Knowing the cause of kidney stone formation is crucial to establish treatments that prevent recurrence. There are currently different approaches for determining the kidney stone ty…
Deep morphological recognition of kidney stones using intra-operative endoscopic digital videos
Vincent Estrade, Michel Daudon, Emmanuel Richard +5
The collection and the analysis of kidney stone morphological criteria are essential for an aetiological diagnosis of stone disease. However, in-situ LASER-based fragmentation of u…
Towards Automatic Recognition of Pure & Mixed Stones using Intraoperative Endoscopic Digital Images
Vincent Estrade, Michel Daudon, Emmanuel Richard +4
Objective: To assess automatic computer-aided in-situ recognition of morphological features of pure and mixed urinary stones using intraoperative digital endoscopic images acquired…
Estimation of urinary stone composition by automated processing of CT images
Grégoire Chevreau, Jocelyne Troccaz, Pierre Conort +4
The objective of this article was developing an automated tool for routine clinical practice to estimate urinary stone composition from CT images based on the density of all consti…