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A post-processing method to improve the white matter hyperintensity
  segmentation accuracy for randomly-initialized U-net

A post-processing method to improve the white matter hyperintensity segmentation accuracy for randomly-initialized U-net

21 July 2018
Yue Zhang
Wanli Chen
Yifan Chen
Xiaoying Tang
ArXivPDFHTML

Papers citing "A post-processing method to improve the white matter hyperintensity segmentation accuracy for randomly-initialized U-net"

2 / 2 papers shown
Title
U-Net and its variants for medical image segmentation: theory and
  applications
U-Net and its variants for medical image segmentation: theory and applications
N. Siddique
Sidike Paheding
Colin P. Elkin
Vijay Devabhaktuni
SSeg
23
1,041
0
02 Nov 2020
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
304
10,618
0
19 Feb 2017
1