Solitary Pulmonary Nodule malignancy classification utilising 3D features and semi-supervised Deep Learning.
Ioannis D. ApostolopoulosDimitris J. ApostolopoulosGeorge S. PanayiotakisPublished in: IISA (2022)
Keyphrases
- benign and malignant
- pulmonary nodules
- deep learning
- unsupervised feature learning
- semi supervised
- classification accuracy
- feature vectors
- thoracic ct images
- feature extraction
- feature set
- unsupervised learning
- restricted boltzmann machine
- feature space
- computer aided diagnosis
- ct images
- computer aided
- digital mammograms
- supervised learning
- lung nodules
- breast cancer
- machine learning
- lung cancer
- feature selection
- pattern recognition
- weakly supervised
- computed tomography
- active learning
- reinforcement learning
- receiver operating characteristic
- model selection
- medical images
- high dimensional
- support vector
- probabilistic model