A framework for diagnosing cervical cancer disease based on feedforward MLP neural network and ThinPrep histopathological cell image features.
Babak SokoutiSiamak HaghipourAli Dastranj TabriziPublished in: Neural Comput. Appl. (2014)
Keyphrases
- feed forward
- neural network
- back propagation
- artificial neural networks
- image features
- neural nets
- multilayer perceptron
- activation function
- cervical cancer
- recurrent neural networks
- neural architecture
- multi layer perceptron
- pattern recognition
- fuzzy logic
- adaptive neural
- computer vision
- visual cortex
- feed forward neural networks
- neural network model
- computer aided
- image representation
- image analysis
- feature vectors
- output layer
- multiscale
- machine learning