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OctopusNet: A Deep Learning Segmentation Network for Multi-modal Medical
  Images

OctopusNet: A Deep Learning Segmentation Network for Multi-modal Medical Images

5 June 2019
Yu Chen
Jiawei Chen
Dong Wei
Yuexiang Li
Yefeng Zheng
    MedIm
ArXivPDFHTML

Papers citing "OctopusNet: A Deep Learning Segmentation Network for Multi-modal Medical Images"

4 / 4 papers shown
Title
Deep representation learning: Fundamentals, Perspectives, Applications,
  and Open Challenges
Deep representation learning: Fundamentals, Perspectives, Applications, and Open Challenges
K. T. Baghaei
Amirreza Payandeh
Pooya Fayyazsanavi
Shahram Rahimi
Zhiqian Chen
Somayeh Bakhtiari Ramezani
FaML
AI4TS
38
6
0
27 Nov 2022
Modality Bank: Learn multi-modality images across data centers without
  sharing medical data
Modality Bank: Learn multi-modality images across data centers without sharing medical data
Qi Chang
Hui Qu
Zhennan Yan
Yunhe Gao
L. Baskaran
Dimitris N. Metaxas
MedIm
22
4
0
22 Jan 2022
Modality-aware Mutual Learning for Multi-modal Medical Image
  Segmentation
Modality-aware Mutual Learning for Multi-modal Medical Image Segmentation
Yao Zhang
Jiawei Yang
Jiang Tian
Zhongchao Shi
Cheng Zhong
Yang Zhang
Zhiqiang He
37
90
0
21 Jul 2021
Adaptive feature recombination and recalibration for semantic
  segmentation: application to brain tumor segmentation in MRI
Adaptive feature recombination and recalibration for semantic segmentation: application to brain tumor segmentation in MRI
Sérgio Pereira
Victor Alves
Carlos Alberto Silva
23
46
0
06 Jun 2018
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