RASNet: Segmentation for Tracking Surgical Instruments in Surgical Videos Using Refined Attention Segmentation Network

21 May 2019

Papers citing "RASNet: Segmentation for Tracking Surgical Instruments in Surgical Videos Using Refined Attention Segmentation Network"

20 / 20 papers shown

Title
Video-based Surgical Tool-tip and Keypoint Tracking using Multi-frame Context-driven Deep Learning Models B. Ghanekar Lianne R. Johnson Jacob L. Laughlin Marcia K. O'Malley Ashok Veeraraghavan 74 2 0 30 Jan 2025
Phase-Informed Tool Segmentation for Manual Small-Incision Cataract Surgery Bhuvan Sachdeva Naren Akash Tajamul Ashraf Simon Muller T. Schultz M. Wintergerst Niharika Singri Prasad K. Murali Mohit Jain 66 0 0 25 Nov 2024
AMNCutter: Affinity-Attention-Guided Multi-View Normalized Cutter for Unsupervised Surgical Instrument Segmentation Mingyu Sheng Jianan Fan Dongnan Liu Ron Kikinis Weidong Cai 31 0 0 06 Nov 2024
Revisiting Surgical Instrument Segmentation Without Human Intervention: A Graph Partitioning View Mingyu Sheng Jianan Fan Dongnan Liu Ron Kikinis Weidong Cai 30 1 0 27 Aug 2024
Attention Mechanisms in Medical Image Segmentation: A Survey Yutong Xie Bing Yang Qi Guan Jianpeng Zhang Qi Wu Yong-quan Xia ViT MedIm 19 16 0 29 May 2023
Methods and datasets for segmentation of minimally invasive surgical instruments in endoscopic images and videos: A review of the state of the art Tobias Rueckert Daniel Rueckert Christoph Palm 22 17 0 25 Apr 2023
A comprehensive survey on recent deep learning-based methods applied to surgical data Mansoor Ali Rafael Martinez Garcia Peña Gilberto Ochoa-Ruiz Sharib Ali 12 6 0 03 Sep 2022
Global-Reasoned Multi-Task Learning Model for Surgical Scene Understanding Lalithkumar Seenivasan Sai Mitheran Mobarakol Islam Hongliang Ren 30 32 0 28 Jan 2022
Real-time Instance Segmentation of Surgical Instruments using Attention and Multi-scale Feature Fusion Juan Carlos Angeles Ceron Gilberto Ochoa-Ruiz Leonardo Chang Sharib Ali 16 36 0 09 Nov 2021
Exploring Deep Learning Methods for Real-Time Surgical Instrument Segmentation in Laparoscopy Debesh Jha Sharib Ali Nikhil Kumar Tomar Michael A. Riegler Dag Johansen Haavard D. Johansen P. Halvorsen 16 11 0 05 Jul 2021
Surgical Visual Domain Adaptation: Results from the MICCAI 2020 SurgVisDom Challenge Aneeq Zia Kiran D. Bhattacharyya Xi Liu Ziheng Wang S. Kondo ... Raabid Hussain Lena Maier-Hein Danail Stoyanov Stefanie Speidel A. Jarc 35 20 0 26 Feb 2021
Temporally Guided Articulated Hand Pose Tracking in Surgical Videos Nathan Louis Luowei Zhou S. Yule R. Dias Milisa Manojlovich F. Pagani D. Likosky Jason J. Corso 27 10 0 12 Jan 2021
Unsupervised Surgical Instrument Segmentation via Anchor Generation and Semantic Diffusion Daochang Liu Yuhui Wei Tingting Jiang Yizhou Wang R. Miao F. Shan Ziyu Li MedIm 19 26 0 27 Aug 2020
Endo-Sim2Real: Consistency learning-based domain adaptation for instrument segmentation Manish Sahu Ronja Strömsdörfer Anirban Mukhopadhyay S. Zachow 53 35 0 22 Jul 2020
Synthetic and Real Inputs for Tool Segmentation in Robotic Surgery Emanuele Colleoni P. J. Eddie Edwards Danail Stoyanov MedIm 11 61 0 17 Jul 2020
Recurrent and Spiking Modeling of Sparse Surgical Kinematics N. Getty Zixuan Zhou S. Gruessner Liaohai Chen Fangfang Xia 9 3 0 12 May 2020
Robust Medical Instrument Segmentation Challenge 2019 T. Ross Annika Reinke Peter M. Full M. Wagner H. Kenngott ... Lei Zhu Manuel Wiesenfarth A. Kopp-Schneider Beat P. Müller-Stich Lena Maier-Hein 49 43 0 23 Mar 2020
Attention-Guided Lightweight Network for Real-Time Segmentation of Robotic Surgical Instruments Zhen-Liang Ni Guibin Bian Z. Hou Xiao-Hu Zhou Xiaoliang Xie Zhen Li 11 49 0 24 Oct 2019
Deep Semantic Segmentation of Natural and Medical Images: A Review Saeid Asgari Taghanaki Kumar Abhishek Joseph Paul Cohen Julien Cohen-Adad Ghassan Hamarneh SSeg VLM 31 666 0 16 Oct 2019
RAUNet: Residual Attention U-Net for Semantic Segmentation of Cataract Surgical Instruments Zhen-Liang Ni Guibin Bian Xiao-Hu Zhou Z. Hou Xiaoliang Xie Chen Wang Yan-Jie Zhou Rui-Qi Li Zhen Li 16 115 0 23 Sep 2019