Improving Nuclei Classification Performance in H&E Stained Tissue Images Using Fully Convolutional Regression Network and Convolutional Neural Network.
Ali S. HamadIlker ErsoyFiliz BunyakPublished in: AIPR (2018)
Keyphrases
- cell nuclei
- microscopic images
- convolutional neural network
- tissue samples
- microscopy images
- image classification
- histopathological images
- image analysis
- microscope images
- input image
- automated analysis
- cancer diagnosis
- three dimensional
- image data
- automated detection
- image features
- network architecture
- support vector
- quantitative analysis
- tissue classification
- textural features
- radial basis function network
- low contrast
- image processing
- test images
- face detection
- image registration
- model selection
- confocal images
- digitized images
- human skin
- breast tissue
- image retrieval
- unsupervised learning
- segmentation algorithm
- segmentation method
- multi channel
- restricted boltzmann machine
- regression model
- feature extraction
- image segmentation
- sparse coding
- feature selection