Deep learning enabled multi-wavelength spatial coherence microscope for the classification of malaria-infected stages with limited labelled data size.
Neeru SinglaVishal SrivastavaPublished in: CoRR (2019)
Keyphrases
- labelled data
- deep learning
- spatial coherence
- unsupervised learning
- machine learning
- text classification
- decision trees
- training data
- graph cuts
- image classification
- feature vectors
- supervised learning
- model selection
- co occurrence
- support vector machine
- training set
- bayesian networks
- image segmentation
- feature selection