Keyphrases
Fundus Image
81%
Optic Cup
80%
Optic Disc
76%
Retinal Fundus Images
65%
Glaucoma
65%
Optical Coherence Tomography Images
56%
Retinal Image
54%
Glaucoma Diagnosis
49%
Cup-to-disc Ratio
47%
Optical Coherence Tomography
46%
Glaucoma Detection
46%
Deep Learning
41%
Optic Disc Segmentation
35%
Nuclear Cataract
33%
Anterior Segment Optical Coherence Tomography (AS-OCT)
30%
Optic Cup Segmentation
27%
Glaucoma Screening
27%
Automatic Detection
26%
State-of-the-art Techniques
24%
Sub-pixel Classification
24%
Superpixel
23%
Retina
23%
Age-related Macular Degeneration
22%
Gallbladder
22%
Pathologic Myopia
21%
Image-based
20%
Anterior Chamber Angle
20%
Blood Vessels
20%
Glaucoma Classification
20%
Generative Adversarial Networks
19%
Singapore
19%
Computer-aided Diagnosis (CADx)
18%
Ocular Diseases
18%
Computer-aided Diagnosis System
18%
Cataract
18%
Anterior Segment OCT
17%
Speckle Reduction
17%
Angle-closure Glaucoma
16%
Peripapillary Atrophy
15%
Tortuosity
15%
Wireless Capsule Endoscopy
15%
Classification Basis
15%
Ophthalmologist
15%
Medical Image Segmentation
15%
Ratio Estimation
15%
Macula
14%
Slit-lamp Images
14%
U-Net
14%
Diabetic Retinopathy
14%
Eye Diseases
14%
Computer Science
Experimental Result
100%
Deep Learning
57%
Convolutional Neural Network
46%
Superpixel
40%
Image Segmentation
33%
Image Analysis
32%
Aided Diagnosis
29%
Image Quality
25%
Visual Feature
24%
Support Vector Machine
24%
Support Vector Machine
24%
Generative Adversarial Networks
21%
Surgical Training
21%
Imaging Modality
19%
Speckle Reduction
18%
Learning Framework
17%
Robot
17%
Attention (Machine Learning)
16%
Neural Network
16%
local feature
15%
Image Classification
15%
Feature Selection
15%
U-Net
14%
Segmentation Performance
14%
Annotation
14%
Feature Extraction
13%
Visual Impairment
13%
Medical Imaging
13%
Automatic Detection
13%
Training Data
13%
Segmentation Method
12%
Automatic Segmentation
12%
Network Segmentation
11%
Sparsity
10%
Vessel Segmentation
9%
Learning Approach
9%
Transfer Learning
9%
Convolutional Network
9%
Reference Image
9%
Convolutional Neural Network
9%
Training Sample
8%
Clinical Feature
8%
Characteristic Curve
8%
Detection Method
8%
Edge Information
8%
Context Information
8%
Segmentation Task
8%
Multitask Learning
8%
Multiple Kernel Learning
8%
Image Enhancement
8%