Detection and classification of cervical cancer images using CEENET deep learning approach.
T. G. SubarnaP. SukumarPublished in: J. Intell. Fuzzy Syst. (2022)
Keyphrases
- deep learning
- image classification
- three dimensional
- unsupervised learning
- image features
- object recognition
- image analysis
- input image
- restricted boltzmann machine
- test images
- image registration
- machine learning
- cervical cancer
- pattern recognition
- decision trees
- object detection
- classification accuracy
- feature vectors
- feature extraction
- text classification
- natural images
- image retrieval
- partial occlusion
- feature space
- unsupervised feature learning
- active learning
- supervised learning
- computer aided
- training set
- computer aided diagnosis
- face recognition