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Normalization in Training U-Net for 2D Biomedical Semantic Segmentation

Normalization in Training U-Net for 2D Biomedical Semantic Segmentation

11 September 2018
Xiao-Yun Zhou
Guang-Zhong Yang
ArXivPDFHTML

Papers citing "Normalization in Training U-Net for 2D Biomedical Semantic Segmentation"

9 / 9 papers shown
Title
Diagonal Hierarchical Consistency Learning for Semi-supervised Medical
  Image Segmentation
Diagonal Hierarchical Consistency Learning for Semi-supervised Medical Image Segmentation
Heejoon Koo
34
0
0
10 Nov 2023
Multi-organ segmentation: a progressive exploration of learning
  paradigms under scarce annotation
Multi-organ segmentation: a progressive exploration of learning paradigms under scarce annotation
Shiman Li
Haoran Wang
Yucong Meng
Chenxi Zhang
Zhijian Song
29
6
0
07 Feb 2023
Memory Consistent Unsupervised Off-the-Shelf Model Adaptation for
  Source-Relaxed Medical Image Segmentation
Memory Consistent Unsupervised Off-the-Shelf Model Adaptation for Source-Relaxed Medical Image Segmentation
Xiaofeng Liu
Fangxu Xing
G. El Fakhri
Jonghye Woo
OOD
37
30
0
16 Sep 2022
Calibrating the Dice loss to handle neural network overconfidence for
  biomedical image segmentation
Calibrating the Dice loss to handle neural network overconfidence for biomedical image segmentation
Michael Yeung
L. Rundo
Yang Nan
Evis Sala
Carola-Bibiane Schönlieb
Guang Yang
UQCV
25
30
0
31 Oct 2021
The Challenges and Opportunities of Human-Centered AI for Trustworthy
  Robots and Autonomous Systems
The Challenges and Opportunities of Human-Centered AI for Trustworthy Robots and Autonomous Systems
Hongmei He
J. Gray
Angelo Cangelosi
Q. Meng
T. McGinnity
J. Mehnen
14
35
0
07 May 2021
Unified Focal loss: Generalising Dice and cross entropy-based losses to
  handle class imbalanced medical image segmentation
Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentation
Michael Yeung
Evis Sala
Carola-Bibiane Schönlieb
L. Rundo
32
393
0
08 Feb 2021
Towards Better Surgical Instrument Segmentation in Endoscopic Vision:
  Multi-Angle Feature Aggregation and Contour Supervision
Towards Better Surgical Instrument Segmentation in Endoscopic Vision: Multi-Angle Feature Aggregation and Contour Supervision
Fangbo Qin
Shan Lin
Yangming Li
Randall Bly
K. Moe
Blake Hannaford
16
51
0
25 Feb 2020
Deep learning for cardiac image segmentation: A review
Deep learning for cardiac image segmentation: A review
C. L. P. Chen
C. Qin
Huaqi Qiu
G. Tarroni
Jinming Duan
Wenjia Bai
Daniel Rueckert
SSeg
3DV
58
674
0
09 Nov 2019
A Survey on Deep Learning in Medical Image Analysis
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
292
10,613
0
19 Feb 2017
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