Detection and Classification of Cervical Exfoliated Cells Based on Faster R-CNN.
Jun DuXueyu LiQinghua LiPublished in: ICAIT (2019)
Keyphrases
- classification accuracy
- pattern recognition
- robust detection
- feature extraction
- support vector
- feature vectors
- text classification
- convolutional neural network
- feature extraction and classification
- classification scheme
- classification method
- classification algorithm
- classification systems
- false positives
- decision rules
- model selection
- cellular neural networks
- benchmark datasets
- cancer detection
- neyman pearson
- microcalcification clusters
- digital mammograms
- cervical cancer
- feature selection
- false negative
- machine learning algorithms
- training samples
- anomaly detection
- feature set
- supervised learning
- support vector machine
- feature space
- face recognition