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3d u-net based brain tumor segmentation and survival days prediction
Feifan Wang
, Runzhou Jiang
, Liqin Zheng
, Chun Meng
,
Bharat Biswal
Bio-Medical Engineering
Center for Brain Imaging
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
107
Scopus citations
Overview
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Dive into the research topics of '3d u-net based brain tumor segmentation and survival days prediction'. Together they form a unique fingerprint.
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Keyphrases
Brain Tumor
100%
Tumor
100%
Validation Data
100%
Surgeons
100%
Tumor Survival
100%
3D U-Net
100%
Survival Time Prediction
100%
Brain Tumor Segmentation
100%
Deep Learning
50%
Deep Learning Model
50%
Medical Image Processing
50%
Prediction Task
50%
Normalization Method
50%
Overall Survival
50%
Enhancing Tumor
50%
Tumor Size
50%
Segmentation Problem
50%
Brain Size
50%
Computer Vision Techniques
50%
Dice Coefficient
50%
U-Net
50%
Tumor Core
50%
BraTS 2019
50%
Patch Strategy
50%
Numerical Characteristics
50%
Final Test
50%
Whole Tumor
50%
Computer Science
Validation Dataset
100%
Tumor Segmentation
100%
Computer Vision
50%
Deep Learning
50%
Medical Image Processing
50%
Deep Learning Model
50%
Application Scenario
50%
Segmentation Task
50%
U-Net
50%
Biochemistry, Genetics and Molecular Biology
Surface Property
100%
Prevalence
100%
Tumor Volume
100%
Overall Survival
100%
Brain Size
100%
Pharmacology, Toxicology and Pharmaceutical Science
Neoplasm
100%
Brain Tumor
100%
Prevalence
16%
Overall Survival
16%
Neuroscience
Brain Tumor
100%
Image Processing
25%
Material Science
Tumor
100%