RAUNet: Residual Attention U-Net for Semantic Segmentation of Cataract Surgical Instruments

23 September 2019

Papers citing "RAUNet: Residual Attention U-Net for Semantic Segmentation of Cataract Surgical Instruments"

6 / 6 papers shown

Title
A comprehensive survey on recent deep learning-based methods applied to surgical data Mansoor Ali Rafael Martinez Garcia Peña Gilberto Ochoa-Ruiz Sharib Ali 27 6 0 03 Sep 2022
Category Guided Attention Network for Brain Tumor Segmentation in MRI Jiangyun Li Hong Yu Chen Chen Meng Ding Sen Zha 14 13 0 29 Mar 2022
PL-Net: Progressive Learning Network for Medical Image Segmentation Junlong Cheng Chengrui Gao Chaoqing Wang Zhang Ming Yong-Liang Yang Min Zhu SSeg 24 1 0 27 Oct 2021
ReCal-Net: Joint Region-Channel-Wise Calibrated Network for Semantic Segmentation in Cataract Surgery Videos Negin Ghamsarian M. Taschwer Doris Putzgruber-Adamitsch Stephanie Sarny Y. El-Shabrawi Klaus Schoeffmann 21 8 0 25 Sep 2021
Effective semantic segmentation in Cataract Surgery: What matters most? Theodoros Pissas Claudio S. Ravasio L. Cruz Christos Bergeles 21 23 0 13 Aug 2021
w-Net: Dual Supervised Medical Image Segmentation Model with Multi-Dimensional Attention and Cascade Multi-Scale Convolution Bo Wang Lei Wang Junyang Chen Zhenghua Xu Thomas Lukasiewicz Zhigang Fu 35 7 0 15 Nov 2020