Keyphrases
Deep Learning
99%
Magnetic Resonance Imaging
94%
Tumor
69%
Deep Learning Methods
58%
Glioma
47%
Glioblastoma
43%
Computed Tomography
41%
Segmentation Challenge
40%
Brain Tumor
38%
Automatic Segmentation
37%
Tumor Growth Model
35%
High-resolution
33%
Training Data
33%
Medical Imaging
31%
Medical Image Analysis
30%
Publicly Available
30%
Vertebrae
29%
Segmentation Problem
29%
Convolutional Neural Network
28%
Positron Emission Tomography-computed Tomography (PET-CT)
28%
Dice Score
28%
Spine
26%
Radiotherapy Planning
26%
Brain Tumor Segmentation
26%
Segmentation Algorithm
24%
Imaging Modalities
24%
U-Net
24%
Fluid-attenuated Inversion Recovery (FLAIR)
24%
MICCAI
23%
Anatomical Structure
23%
Loss Function
22%
Tumor Cell Density
21%
Image Analysis
21%
Clinical Practice
21%
Vascular Network
21%
Dynamic Contrast-enhanced Magnetic Resonance Imaging (DCE-MRI)
21%
Imaging Data
21%
Tumor Cells
20%
MR Spectroscopic Imaging (MRSI)
20%
Vessel Segmentation
20%
Medical Image
20%
Image Segmentation
20%
Big Data
20%
Three-dimensional (3D)
20%
MRI Data
19%
Neural Network
19%
Random Forest
19%
Clinical Application
19%
Tumor Segmentation
19%
Multiple Sclerosis Lesions
19%
Computer Science
Deep Learning Method
100%
Annotation
79%
Image Analysis
62%
Convolutional Neural Network
58%
Image Segmentation
47%
Medical Imaging
46%
Tumor Segmentation
37%
Lesion Segmentation
36%
Random Decision Forest
35%
Training Data
35%
Machine Learning
29%
Learning System
28%
Segmentation Task
26%
Clinical Routine
23%
Benchmarking
23%
Pattern Recognition
23%
Principal Components
22%
Vessel Segmentation
22%
Feature Extraction
21%
Component Analysis
19%
Network Segmentation
19%
Imaging Modality
19%
super resolution
19%
Artificial Intelligence
18%
segmentation algorithm
18%
Experimental Result
17%
Deep Neural Network
17%
Segmentation Model
16%
Segmentation Method
16%
Learning Approach
16%
Big Data
15%
Neural Network
15%
de-noising
15%
Generative Adversarial Networks
14%
Data Augmentation
14%
Automatic Segmentation
14%
Superior Performance
14%
Segmentation Performance
14%
Fully Convolutional Network
14%
Generative Model
14%
Least Squares Method
13%
Large Data Set
13%
Synthetic Data
13%
Image Quality
13%
Network Architecture
13%
Learning Framework
13%
U-Net
12%
Training Dataset
12%
Generalizability
12%
Diffusion Model
12%
