Keyphrases
Cancer Malignancy
16%
Cervical Cancer
33%
Cervical Cancer Classification
16%
Cervical Cells
33%
Class-based
16%
Classification Model
50%
Convolutional Layer
33%
Convolutional Neural Network Model
50%
Early Prevention
16%
Extracting Features
16%
Feature Extraction
100%
Image Vector
16%
Layer Selection
100%
Manual Screening
16%
Model Vectors
16%
Network Support
16%
Observation Error
16%
Pap Smear
100%
Pap Test
16%
Prevention Efforts
16%
Residual Network
100%
ResNet50
33%
Screening Test
33%
Support Vector Machine
33%
Support Vector Machine Algorithm
16%
Support Vector Machine Model
16%
Training Model
16%
Computer Science
Classification Models
75%
Convolution Layer
50%
Convolutional Neural Network
75%
Feature Extraction
100%
Neural Network Model
75%
Pre-Trained Model
25%
Prevention Effort
25%
Residual Neural Network
100%
ResNet50
25%
Support Vector Machine
100%
Engineering
Convolutional Neural Network
75%
Feature Extraction
100%
Network Model
75%
Network Support
25%
Screening Test
50%
Support Vector Machine
100%
Medicine and Dentistry
Cancer
14%
Cancer Classification
14%
Cervical Cancer
42%
Feature Extraction
100%
Malignant Neoplasm
14%
Papanicolaou Stain
100%
Screening Test
28%