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U-Net Based Architecture for an Improved Multiresolution Segmentation in
  Medical Images

U-Net Based Architecture for an Improved Multiresolution Segmentation in Medical Images

16 July 2020
Simindokht Jahangard
M. H. Zangooei
Maysam Shahedi
    SSeg
ArXivPDFHTML

Papers citing "U-Net Based Architecture for an Improved Multiresolution Segmentation in Medical Images"

4 / 4 papers shown
Title
Deep Multi-Scale U-Net Architecture and Label-Noise Robust Training
  Strategies for Histopathological Image Segmentation
Deep Multi-Scale U-Net Architecture and Label-Noise Robust Training Strategies for Histopathological Image Segmentation
Nikhil Cherian Kurian
Amit Lohan
G. Verghese
Nimish Dharamshi
S. Meena
...
Fangfang Liu
Cheryl Gillet
S. Rane
A. Grigoriadis
A. Sethi
SSeg
14
10
0
03 May 2022
DoubleU-Net++: Architecture with Exploit Multiscale Features for
  Vertebrae Segmentation
DoubleU-Net++: Architecture with Exploit Multiscale Features for Vertebrae Segmentation
Simindokht Jahangard
Mahdi Bonyani
Abbas Khosravi
19
1
0
28 Jan 2022
Infant Brain Age Classification: 2D CNN Outperforms 3D CNN in Small
  Dataset
Infant Brain Age Classification: 2D CNN Outperforms 3D CNN in Small Dataset
M. Shabanian
Markus T. Wenzel
J. DeVincenzo
11
3
0
27 Dec 2021
Neurodevelopmental Age Estimation of Infants Using a 3D-Convolutional
  Neural Network Model based on Fusion MRI Sequences
Neurodevelopmental Age Estimation of Infants Using a 3D-Convolutional Neural Network Model based on Fusion MRI Sequences
M. Shabanian
A. Siddiqui
H. Chen
J. DeVincenzo
11
0
0
07 Oct 2020
1