Lung cancer histology classification from CT images based on radiomics and deep learning models.
Panagiotis MarentakisPantelis KaraiskosVassilis KoulouliasNikolaos KelekisStylianos ArgentosNikolaos OikonomopoulosConstantinos G. LoukasPublished in: Medical Biol. Eng. Comput. (2021)
Keyphrases
- lung nodules
- ct images
- lung cancer
- learning models
- pet ct
- pulmonary nodules
- computed tomography
- classification models
- machine learning
- medical images
- medical imaging
- machine learning algorithms
- ct scans
- lymph nodes
- learning algorithm
- cancer diagnosis
- ground glass opacity
- treatment planning
- loss function
- ct data
- classification accuracy
- decision trees
- computer tomography
- pattern recognition
- feature selection
- learning tasks
- training data
- support vector
- training set
- text classification
- computer aided diagnosis
- conditional random fields
- x ray images
- computer aided
- region of interest
- learning problems