Keyphrases
Attention Modeling
12%
Attention Span
12%
Boundary Perception
37%
Cell Boundary
18%
Cell Density
18%
Cell Edge
18%
Clinical Indicators
12%
Confocal Microscope
37%
Convolution Neural Network
37%
Convolutional Block
18%
Cornea
12%
Corneal Endothelial Cell Segmentation
74%
Corneal Endothelial Cells
40%
Density Coefficient
18%
Dependency Network
16%
Detail Information
18%
Edge Position
18%
Embedded Boundary
16%
Feature Space
12%
Fourier Frequency
18%
Global-local Transformer
37%
Health State Evaluation
12%
Hexagonality
18%
Hierarchy Structure
12%
Hybrid Convolution
12%
Hybrid Transformer
37%
Liver
12%
Local Consistency
18%
Local Convolution
18%
Local Texture Features
18%
Local Transformer
37%
Long-range Dependence
25%
Medical Image Data
12%
Medical Image Segmentation
25%
Modality Transfer
37%
Multi-scale Perception
37%
Network Transformers
12%
Perception Network
16%
Prior-Guided
37%
Residual Connection
18%
Segmentation Problem
12%
Self-attention Network
37%
Self-collected
18%
Spatial Uncertainty
37%
Texture Feature Extraction
18%
Transformer
25%
Transformer Connection
18%
Transformer Layer
12%
Transformer Network
62%
Uncertainty Maps
18%
Computer Science
Attention (Machine Learning)
37%
Basic Framework
6%
Cell Segmentation
74%
Confocal Microscope
37%
Contrast Condition
12%
Convolutional Neural Network
37%
Convolutional Neural Network
12%
Data Synthesis
6%
Deep Learning
5%
Desirable Property
12%
Discriminator
18%
Enhancement Module
18%
Experimental Result
5%
Feature Space
12%
Frequency Domain
18%
Generative Adversarial Networks
37%
Global Context
12%
Global Information
12%
Granularity
12%
Image Enhancement
18%
Image Segmentation
62%
Knowledge Structure
18%
Local Affinity
18%
Local Information
12%
Microscope Image
24%
Network Structures
37%
Range Dependency
100%
Receptive Field
24%
Representation Learning
12%
Robust Segmentation
5%
Segmentation Performance
12%
Segmentation Task
24%
Semantic Feature
12%
Spatial Method
37%
Target Location
12%
Engineering
Aleatoric Uncertainty
9%
Attention Gate
37%
Boundary Cell
37%
Coefficient of Variation
37%
Confocal Microscope
37%
Discriminator
18%
Epistemic Uncertainty
9%
Feature Space
18%
Frequency Domain
18%
Granularity
18%
Image Enhancement
18%
Knowledge Structure
12%
Local Model
18%
Medical Image
18%
Medical Image Segmentation
37%
Multiscale
74%
Receptive Field
18%
State-of-the-Art Method
18%
Tasks
56%
