Computer Science
Clinical Data
100%
Deep Learning Method
100%
Artificial Intelligence
95%
Feature Extraction
59%
Feature Selection
50%
Deep Learning Model
45%
Convolutional Neural Network
45%
Ultrasound Image
40%
Learning System
40%
Medical Imaging
40%
Machine Learning
40%
Vision Transformer
36%
Machine Learning Technique
27%
Diagnostic Process
22%
Clinical Setting
22%
Cancer Diagnosis
22%
Image Analysis
18%
Predictive Model
13%
Support Vector Machine
13%
Deep Learning Technique
13%
Comparative Analysis
13%
Expected Outcome
9%
Healthcare Technology
9%
Decision Tree
9%
Random Decision Forest
9%
Learning Approach
9%
Healthcare Delivery
9%
Autoencoder
9%
Extreme Learning Machine
9%
Neural Network Architecture
9%
Machine Learning Algorithm
9%
Healthcare Provider
9%
Learning Technique
9%
Ethical Consideration
9%
Paradigm Shift
9%
Extreme Gradient Boosting
9%
Data Privacy
9%
Nursing and Health Professions
Ovary Polycystic Disease
100%
Uterine Cervix Cancer
58%
Artificial Intelligence
38%
Feature Extraction
25%
Neural Network
20%
Diagnostic Imaging
16%
Diagnostic Accuracy
10%
Health Care Policy
10%
Papanicolaou Test
9%
Cancer Diagnosis
9%
Image Analysis
7%
Random Forest
5%
Diagnostic Error
5%
Cancer Screening
5%
Treatment Outcome
5%
Healthcare System
5%
Cancer Classification
5%
Health Care Cost
5%
Support Vector Machine
5%
Syndrome
5%
K Nearest Neighbor
5%
Medicine and Dentistry
Polycystic Ovary Syndrome
100%
Cervical Cancer
52%
Artificial Intelligence
38%
Feature Extraction
25%
Diagnostic Imaging
16%
Womens Health
14%
Diagnostic Accuracy
10%
Reproductive Public Health
9%
Cancer Diagnosis
9%
Image Analysis
7%
Cancer Classification
5%
Diagnostic Error
5%
Health Care Cost
5%
Cancer Cell
5%
Awareness
5%
Diagnostic Criterion
5%