Fully Automated CAD System for Lung Cancer Detection and Classification Using 3D Residual U-Net with multi-Region Proposal Network (mRPN) in CT Images.
Anum MasoodUsman NaseemMehwish NasimPublished in: CaPTion@MICCAI (2023)
Keyphrases
- ct images
- fully automated
- lung nodules
- nodule detection
- cancer detection
- computed tomography
- region of interest
- ct scans
- medical images
- computer aided detection
- medical imaging
- computer aided diagnosis
- fully automatic
- pulmonary nodules
- lung cancer
- computer tomography
- high resolution computed tomography
- manual segmentation
- completely automated
- ct data
- automated segmentation
- pet ct
- treatment planning
- lymph nodes
- support vector machine
- cad systems
- lung parenchyma
- low dose
- cancer diagnosis
- support vector
- feature extraction
- image segmentation
- image processing
- magnetic resonance imaging
- image registration
- machine learning