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D-UNet: a dimension-fusion U shape network for chronic stroke lesion
  segmentation

D-UNet: a dimension-fusion U shape network for chronic stroke lesion segmentation

14 August 2019
Yongjin Zhou
Weijian Huang
Pei Dong
Yong-quan Xia
Shanshan Wang
    MedIm
ArXivPDFHTML

Papers citing "D-UNet: a dimension-fusion U shape network for chronic stroke lesion segmentation"

5 / 5 papers shown
Title
Enhancing the vision-language foundation model with key semantic
  knowledge-emphasized report refinement
Enhancing the vision-language foundation model with key semantic knowledge-emphasized report refinement
Cheng Li
Weijian Huang
Hao Yang
Jiarun Liu
Shanshan Wang
MedIm
30
4
0
21 Jan 2024
FAN-Net: Fourier-Based Adaptive Normalization For Cross-Domain Stroke
  Lesion Segmentation
FAN-Net: Fourier-Based Adaptive Normalization For Cross-Domain Stroke Lesion Segmentation
Weiyi Yu
Yiming Lei
Hongming Shan
OOD
MedIm
11
4
0
23 Apr 2023
DIGEST: Deeply supervIsed knowledGE tranSfer neTwork learning for brain
  tumor segmentation with incomplete multi-modal MRI scans
DIGEST: Deeply supervIsed knowledGE tranSfer neTwork learning for brain tumor segmentation with incomplete multi-modal MRI scans
Haoran Li
Cheng Li
Weijian Huang
Xiawu Zheng
Yantao Xi
Shanshan Wang
MedIm
28
2
0
15 Nov 2022
A multi-path 2.5 dimensional convolutional neural network system for
  segmenting stroke lesions in brain MRI images
A multi-path 2.5 dimensional convolutional neural network system for segmenting stroke lesions in brain MRI images
Yunzhe Xue
F. Farhat
Olga Boukrina
A. Barrett
J. Binder
Usman Roshan
William W. Graves
MedIm
13
64
0
26 May 2019
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
446
15,639
0
02 Nov 2015
1