A competing round-robin prediction model for histologic subtype prediction of lung adenocarcinomas based on thoracic computed tomography.
Li-Wei ChenShun-Mao YangHao-Jen WangMong-Wei LinLeng-Rong ChenFu-Sheng HsuChia-Chen LiChung-Ming ChenPublished in: Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2018)
Keyphrases
- prediction model
- computed tomography
- ct scans
- round robin
- ct images
- medical imaging
- medical images
- ct data
- image reconstruction
- regression model
- x ray
- load balancing
- three dimensional
- low dose
- computed tomography scans
- computer tomography
- exponential smoothing
- stepwise regression
- predictive model
- pulmonary nodules
- neural network
- region of interest
- image segmentation
- remote sensing
- computer aided diagnosis
- data mining techniques
- treatment planning
- lung nodules
- image analysis
- machine learning
- image registration
- pet ct
- airway tree