A holistic deep learning approach for identification and classification of sub-solid lung nodules in computed tomographic scans.
Savitha G.P. JideshPublished in: Comput. Electr. Eng. (2020)
Keyphrases
- lung nodules
- deep learning
- machine learning
- unsupervised learning
- restricted boltzmann machine
- ct images
- three dimensional
- text classification
- feature selection
- pattern recognition
- classification accuracy
- image reconstruction
- decision trees
- computer aided diagnosis
- support vector
- weakly supervised
- feature vectors
- training set
- reinforcement learning
- learning strategies
- model selection
- computer aided
- feature extraction
- mental models
- image processing