Sort by
Keyphrases
Myelin
88%
Shape Descriptor
88%
Pathologist
70%
Object Boundary
67%
Precursor Lesions
66%
Character Recognition System
59%
Feature Extraction Methods
50%
Fluorescence Microscopy Image
50%
Convolutional Neural Network
49%
Affine-invariant
48%
Myelin Quantification
47%
Segmentation Method
44%
Super-resolution
44%
Sparse Representation
44%
Deep Learning Methods
44%
C-erbB-2
44%
Fast Marching Method
44%
Boundary Shape
44%
Gradient-based
44%
Feature Vector
43%
Recognition System
40%
Multilevel Thresholding
39%
Detection Method
37%
Shape Signature
37%
Centroid Distance
37%
Feature Extraction
36%
Handwritten Characters
33%
Tissue Classification
33%
Chromosome Image
33%
Artificial Neural Network
33%
Fluorescence Imaging
31%
Circular Shifting
31%
Shift Rule
31%
Cervical Cancer
29%
Breast Cancer Tissues
29%
Cervical Intraepithelial Neoplasia
29%
Invariant Shape Descriptor
29%
Tissue Imaging
29%
Breast Cancer
29%
Fast Marching
29%
Gradient Filter
29%
Interobserver Variability
28%
Machine Learning Based
25%
Machine Learning
25%
Chromosome Classification
25%
Precancerous Lesions
24%
Disease Diagnosis
24%
Multiple Sclerosis
23%
Gradient Information
22%
Grayscale Image
22%
Computer Science
shape descriptor
100%
Recognition System
88%
Object Boundary
82%
Character Recognition
66%
Feature Extraction
62%
Affine Invariant
48%
Salient Region
44%
super resolution
44%
Fast Marching Method
44%
Sparse Representation
44%
Detection Method
44%
Feature Vector
38%
Image Analysis
37%
Neural Network
33%
Active Contour
33%
Shape Information
33%
Convolutional Neural Network
33%
Observer Variability
29%
Segmentation Method
27%
Simulated Annealing
22%
Classification Accuracy
22%
Object Detection
22%
Dimensional Distribution
22%
Explainable Artificial Intelligence
22%
Independent Component Analysis
22%
Automated Analysis
22%
Local Histogram
22%
Biomedical Signal
22%
Dimension Reduction Method
22%
Training Phase
22%
Shape Recognition
22%
Annotation
22%
Artificial Intelligence
22%
Data Availability
22%
Research Purpose
22%
Histopathological Image
22%
Image Information
22%
Support Vector Machine
22%
Classification Performance
18%
Conjugate Gradients
16%
Recognition Result
16%
Fourier Transform
15%
Shifted Version
15%
image feature
14%
Clinical Data
14%
Principal Components
11%
Recognition Performance
11%
Multiple Discriminant Analysis
11%
Preprocessing Step
11%
Linear Transformation
11%
