Segmentation of pulmonary nodules in computed tomography using a regression neural network approach and its application to the Lung Image Database Consortium and Image Database Resource Initiative dataset.
Temesguen MessayRussell C. HardieTimothy R. TuinstraPublished in: Medical Image Anal. (2015)
Keyphrases
- image database
- computed tomography
- ct images
- pulmonary nodules
- ct scans
- medical images
- medical imaging
- lung parenchyma
- thoracic ct images
- neural network
- ct data
- ground glass opacity
- computer tomography
- pet ct
- lung nodules
- lung cancer
- image data
- computer aided
- computer aided diagnosis
- three dimensional
- image retrieval
- low dose
- image reconstruction
- lymph nodes
- image segmentation
- image analysis
- fully automatic
- segmentation method
- region of interest
- medical image processing
- lung cancer patients
- accurate segmentation
- pattern recognition
- image registration
- magnetic resonance imaging
- treatment planning
- region growing
- imaging modalities
- anatomical structures
- medical diagnosis
- automatic segmentation
- x ray
- image processing
- computer vision
- remote sensing
- segmentation algorithm
- level set
- video sequences