1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CV2022★ 1 cited
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…
cs.RO2019
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…