Classification of Pap-smear cell images using deep convolutional neural network accelerated by hand-crafted features.
David KupasBalázs HarangiPublished in: EMBC (2022)
Keyphrases
- convolutional neural network
- image features
- image classification
- classification accuracy
- feature vectors
- feature space
- hand crafted
- microscope images
- feature extraction
- feature set
- image retrieval
- input image
- face detection
- blood cells
- neural network
- feature selection
- supervised learning
- machine learning
- automatically generated
- support vector
- similarity measure
- text mining
- support vector machine
- low level
- expert systems