1 citations · 1 across the 3 of their papers we have counts for
3 papers
SAF-IS: a Spatial Annotation Free Framework for Instance Segmentation of Surgical Tools
Luca Sestini, Benoit Rosa, Elena De Momi +2
Instance segmentation of surgical instruments is a long-standing research problem, crucial for the development of many applications for computer-assisted surgery. This problem is c…
FUN-SIS: a Fully UNsupervised approach for Surgical Instrument Segmentation
Luca Sestini, Benoit Rosa, Elena De Momi +2
Automatic surgical instrument segmentation of endoscopic images is a crucial building block of many computer-assistance applications for minimally invasive surgery. So far, state-o…
Self-Supervised Surgical Tool Segmentation using Kinematic Information
Cristian da Costa Rocha, Nicolas Padoy, Benoit Rosa
Surgical tool segmentation in endoscopic images is the first step towards pose estimation and (sub-)task automation in challenging minimally invasive surgical operations. While man…