INIS
classification
100%
diseases
100%
nervous system diseases
100%
regional analysis
100%
accuracy
50%
prediction
50%
levels
33%
brain
33%
proposals
33%
nmr imaging
33%
architecture
16%
tools
16%
information
16%
data
16%
learning
16%
values
16%
size
16%
performance
16%
applications
16%
pathology
16%
volume
16%
density
16%
image processing
16%
capture
16%
computers
16%
sensitivity
16%
unified model
16%
Keyphrases
Small Combination of Slices
100%
Autoencoder
100%
Patch Level
22%
Anatomical Planes
22%
Sagittal
22%
Disease Understanding
11%
Supervised Autoencoder
11%
Network Parameter Optimization
11%
Atlas-based
11%
Volumetric Features
11%
Volumetric Information
11%
3D Volume
11%
Class Prediction
11%
Binary Class
11%
Computing Accuracy
11%
Informative Locations
11%
2D Slices
11%
Single-scan
11%
Autoencoder Model
11%
Regional Definition
11%
Unsupervised Representation
11%
Computer-aided Diagnosis (CADx)
11%
Scan Slice
11%
Autoencoder Architecture
11%
Emerging Tools
11%
Partially Coherent
11%
Majority Rule
11%
Accuracy Performance
11%
Patch Network
11%
Neuroscience
Alzheimer's Disease
100%
Structural Magnetic Resonance Imaging
33%
Cognitive Function
16%
Neurodegeneration
16%
Engineering
Autoencoder
100%
Sagittal Plane
9%
Disease State
9%
Test Data
9%
Image Analysis
9%
Test Subject
9%
Classification Accuracy
9%
Computer Science
Autoencoder
100%
Representation Learning
9%
Image Analysis
9%
Class Prediction
9%
Classification Accuracy
9%
Supervised Classification
9%
Medical Knowledge
9%