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Low-Grade Glioma Segmentation Based on CNN with Fully Connected CRF

Journal of Healthcare Engineering

Oct 27, 2017

Zeju LiYing Mao

Abstract

This work proposed a novel automatic three-dimensional (3D) magnetic resonance imaging (MRI) segmentation method which would be widely used in the clinical diagnosis of the most common and aggressive brain tumor, namely, glioma. The method combined a multipathway convolutional neural ne...read more

Mentioned in this Paper

INTS6
Biological Neural Networks
Biologic Segmentation
Lymphoma, Non-Hodgkin
Magnetic Resonance Imaging
Three-dimensional
Myopathy
Imaging @ Urinary System @ Magnetic Resonance Imaging (MRI)
Neural Network Simulation
Glioblastoma Multiforme Pathway
Paper Details
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Low-Grade Glioma Segmentation Based on CNN with Fully Connected CRF

Journal of Healthcare Engineering

Oct 27, 2017

Zeju LiYing Mao

PMID: 29065666

DOI: 10.1155/2017/9283480

Abstract

This work proposed a novel automatic three-dimensional (3D) magnetic resonance imaging (MRI) segmentation method which would be widely used in the clinical diagnosis of the most common and aggressive brain tumor, namely, glioma. The method combined a multipathway convolutional neural ne...read more

Mentioned in this Paper

INTS6
Biological Neural Networks
Biologic Segmentation
Lymphoma, Non-Hodgkin
Magnetic Resonance Imaging
Three-dimensional
Myopathy
Imaging @ Urinary System @ Magnetic Resonance Imaging (MRI)
Neural Network Simulation
Glioblastoma Multiforme Pathway

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Lymphoma, B-Cell

B-Cell Lymphoma includes types of lymphomas that affect B cells. Here is the latest research on B-Cell lymphoma.

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Medical Image Computing and Computer-assisted Intervention : MICCAI

Pancreas Segmentation in MRI using Graph-Based Decision Fusion on Convolutional Neural Networks

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Paper Details
References
  • References
  • Citations2
  • finger pointing at paper

    References currently unavailable

    We're still populating references for this paper, please check back later.
  • References
  • Citations2
1
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