Automatic prognosis of lung cancer using heterogeneous deep learning models for nodule detection and eliciting its morphological features.
Weilun WangGoutam CharkbortyPublished in: Appl. Intell. (2021)
Keyphrases
- learning models
- lung cancer
- early detection
- nodule detection
- lung nodules
- morphological features
- pulmonary nodules
- learning algorithm
- machine learning
- loss function
- machine learning algorithms
- semi supervised learning
- learning tasks
- learning problems
- low dose
- machine learning methods
- classification models
- conditional random fields
- breast cancer
- computer aided
- image analysis
- feature vectors
- input image