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A 2D dilated residual U-Net for multi-organ segmentation in thoracic CT

A 2D dilated residual U-Net for multi-organ segmentation in thoracic CT

19 May 2019
Sulaiman Vesal
Nishant Ravikumar
Andreas Maier
ArXiv (abs)PDFHTML

Papers citing "A 2D dilated residual U-Net for multi-organ segmentation in thoracic CT"

7 / 7 papers shown
Label-efficient multi-organ segmentation with a diffusion model
Label-efficient multi-organ segmentation with a diffusion model
Yongzhi Huang
Jinxin Zhu
Haseeb Hassan
Liyilei Su
Jingyu Li
Binding Huang
Yun Peng
Jingyu Li
Jun Ma
Bingding Huang
DiffMMedIm
324
0
0
23 Feb 2024
Towards more precise automatic analysis: a comprehensive survey of deep
  learning-based multi-organ segmentation
Towards more precise automatic analysis: a comprehensive survey of deep learning-based multi-organ segmentation
Xiaoyu Liu
Linhao Qu
Ziyue Xie
Jiayue Zhao
Yonghong Shi
Zhijian Song
277
9
0
01 Mar 2023
Conquering Data Variations in Resolution: A Slice-Aware Multi-Branch
  Decoder Network
Conquering Data Variations in Resolution: A Slice-Aware Multi-Branch Decoder NetworkIEEE Transactions on Medical Imaging (TMI), 2020
Shuxin Wang
Shilei Cao
Zhizhong Chai
Dong Wei
Kai Ma
Liansheng Wang
Yefeng Zheng
MedIm
131
17
0
07 Mar 2022
Safety-aware Motion Prediction with Unseen Vehicles for Autonomous
  Driving
Safety-aware Motion Prediction with Unseen Vehicles for Autonomous Driving
Xuanchi Ren
Tao Yang
Erran L. Li
Alexandre Alahi
Qifeng Chen
172
28
0
03 Sep 2021
A Data-Adaptive Loss Function for Incomplete Data and Incremental
  Learning in Semantic Image Segmentation
A Data-Adaptive Loss Function for Incomplete Data and Incremental Learning in Semantic Image SegmentationIEEE Transactions on Medical Imaging (IEEE TMI), 2021
Minh H. Vu
Gabriella Norman
T. Nyholm
Tommy Löfstedt
MedImOOD
142
16
0
22 Apr 2021
Mediastinal lymph nodes segmentation using 3D convolutional neural
  network ensembles and anatomical priors guiding
Mediastinal lymph nodes segmentation using 3D convolutional neural network ensembles and anatomical priors guiding
D. Bouget
André Pedersen
J. Vanel
H. O. Leira
T. Langø
160
27
0
11 Feb 2021
Max-Fusion U-Net for Multi-Modal Pathology Segmentation with Attention
  and Dynamic Resampling
Max-Fusion U-Net for Multi-Modal Pathology Segmentation with Attention and Dynamic Resampling
Haochuan Jiang
Chengjia Wang
A. Chartsias
Sotirios A. Tsaftaris
MedIm
124
9
0
05 Sep 2020
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