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Hierarchical multi-class segmentation of glioma images using networks
  with multi-level activation function

Hierarchical multi-class segmentation of glioma images using networks with multi-level activation function

22 October 2018
Xiaobin Hu
Hongwei Bran Li
Yu Zhao
Chao Dong
Bjoern H. Menze
Marie Piraud
ArXivPDFHTML

Papers citing "Hierarchical multi-class segmentation of glioma images using networks with multi-level activation function"

2 / 2 papers shown
Title
A Tri-attention Fusion Guided Multi-modal Segmentation Network
A Tri-attention Fusion Guided Multi-modal Segmentation Network
Tongxue Zhou
S. Ruan
P. Vera
S. Canu
MedIm
22
45
0
02 Nov 2021
Identifying the Best Machine Learning Algorithms for Brain Tumor
  Segmentation, Progression Assessment, and Overall Survival Prediction in the
  BRATS Challenge
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
Spyridon Bakas
M. Reyes
Andras Jakab
Stefan Bauer
Markus Rempfler
...
Jayashree Kalpathy-Cramer
Keyvan Farahani
Christos Davatzikos
Koen van Leemput
Bjoern H. Menze
47
1,609
0
05 Nov 2018
1