Keyphrases
Attention Modeling
33%
Attention Span
33%
Ciliary Body
33%
Clinical Indicators
33%
Convolution Neural Network
100%
Cornea
33%
Corneal Endothelial Cell Segmentation
100%
Corneal Endothelial Cells
33%
Different Granularity
33%
Efficient Transformer
33%
Experiment Results
33%
Feature Space
33%
Global-local Transformer
100%
Health State Evaluation
33%
Hierarchy Structure
33%
Hybrid Convolution
33%
Inductive Bias
33%
Lightweight Network
33%
Liver
33%
Local Attention
33%
Local Constraints
33%
Local Transformer
100%
Long-range Dependence
66%
Medical Image Data
33%
Medical Image Segmentation
66%
Network Transformers
33%
Receptive Field
33%
Segmentation Problem
33%
Self-attention
33%
Self-attention Network
100%
Semantic Features
33%
State-of-the-art Techniques
33%
Transformer
66%
Transformer Layer
33%
Transformer Network
66%
Computer Science
Attention (Machine Learning)
100%
Cell Segmentation
100%
Convolutional Neural Network
100%
Feature Space
33%
Granularity
33%
Image Segmentation
66%
Range Dependency
66%
Receptive Field
33%
Segmentation Task
33%
Semantic Feature
33%
Engineering
Feature Space
50%
Granularity
50%
Local Model
50%
Medical Image
50%
Medical Image Segmentation
100%
Receptive Field
50%
State-of-the-Art Method
50%
Tasks
50%
Biochemistry, Genetics and Molecular Biology
Health Status
100%
Receptive Field
100%