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