Simultaneous segmentation and classification of multichannel immuno-fluorescently labeled confocal microscopy images using deep convolutional neural networks.
Adam R. SibleyMaryellen L. GigerVladimir LiarskiMarcus R. ClarkPublished in: Medical Imaging: Digital Pathology (2018)
Keyphrases
- simultaneous segmentation
- convolutional neural networks
- confocal microscopy images
- classification accuracy
- pattern recognition
- supervised learning
- training set
- decision trees
- machine learning
- classification scheme
- image segmentation
- classification method
- support vector machine svm
- model selection
- classification algorithm
- image classification
- manual labeling
- feature space
- feature extraction
- text classification
- classification models
- classification process
- unsupervised learning
- deep learning
- automatic classification
- multi channel
- document classification
- machine learning methods
- feature vectors
- preprocessing
- training data
- feature selection