Endo-Sim2Real: Consistency learning-based domain adaptation for instrument segmentation

22 July 2020

Papers citing "Endo-Sim2Real: Consistency learning-based domain adaptation for instrument segmentation"

7 / 7 papers shown

Title
Sim2Real in endoscopy segmentation with a novel structure aware image translation Clara Tomasini L. Riazuelo Ana C. Murillo MedIm 36 0 0 05 May 2025
A comprehensive survey on recent deep learning-based methods applied to surgical data Mansoor Ali Rafael Martinez Garcia Peña Gilberto Ochoa-Ruiz Sharib Ali 17 6 0 03 Sep 2022
SimT: Handling Open-set Noise for Domain Adaptive Semantic Segmentation Xiaoqing Guo Jie Liu Tongliang Liu Yiyuan Yuan 30 27 0 29 Mar 2022
FUN-SIS: a Fully UNsupervised approach for Surgical Instrument Segmentation Luca Sestini Benoit Rosa Elena De Momi G. Ferrigno N. Padoy 25 35 0 16 Feb 2022
One to Many: Adaptive Instrument Segmentation via Meta Learning and Dynamic Online Adaptation in Robotic Surgical Video Zixu Zhao Yueming Jin Bo Lu Chi-Fai Ng Qi Dou Yunhui Liu Pheng-Ann Heng 22 24 0 24 Mar 2021
Real-Time Instrument Segmentation in Robotic Surgery using Auxiliary Supervised Deep Adversarial Learning Mobarakol Islam Daniel Anojan Atputharuban Ravikiran Ramesh Hongliang Ren MedIm 82 94 0 22 Jul 2020
EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic Videos A. P. Twinanda S. Shehata Didier Mutter J. Marescaux M. de Mathelin N. Padoy 173 840 0 09 Feb 2016