Keyphrases
Tumor Volume
100%
Cervical Cancer Brachytherapy
100%
Spatial Resolution Enhancement
100%
Interstitial Needles
100%
Interstitial Brachytherapy
100%
Global Area
100%
Cervical Tumor
100%
Virtual Staining
100%
Semantic Preserving
100%
Hematoxylin-eosin Staining
60%
Regional Features
50%
Feature Fusion Model
50%
Semantic Interaction
40%
Cross Stitch
33%
Tumor Volume Delineation
33%
Area of Uncertainty
33%
Reverse Attention
33%
Cervical Tumor Segmentation
33%
Gray Value
33%
Adversarial Neural Networks
33%
Clinical Routine
33%
Cervical Cancer Prevention
33%
Radiomics
25%
Cancer Subtypes
25%
Cervical Cancer Diagnosis
25%
Ethical Review Board
25%
Board Committees
25%
3D Autoencoder
25%
Tumor Subtype
25%
Cervical Squamous Cell Carcinoma
25%
Axial Slices
25%
Blurring Effect
20%
Spatial Misalignment
20%
Consistent Learning
20%
Pathological Correlation
20%
Immunohistochemical Examination
20%
Protein Activation
20%
Protein Expression Level
20%
High-resolution Computed Tomography
10%
Insufficient Sampling
10%
Hardware Constraints
10%
X-ray Dose
10%
Sinogram
10%
Advanced Imaging Technology
10%
Sinogram Domain
10%
Computer Science
Network Segmentation
100%
Expression Level
100%
Optical Density
100%
Tumor Segmentation
100%
Deep Learning Method
66%
Segmentation Model
33%
Attention (Machine Learning)
33%
Location Information
33%
Art Performance
33%
Learning Framework
33%
Representation Learning
33%
Surrounding Tissue
33%
Clinical Routine
33%
Segmentation Task
33%
Super-Resolution Reconstruction
14%
