Automatic identification of lung candidate nodules on chest CT images based on temporal subtraction images.
Shuji TanakaYuriko IkedaHyoungseop KimJoo Kooi TanSeiji IshikawaSeiichi MurakamiTakatoshi AokiRie TachibanaYasushi HiranoShoji KidoPublished in: SCIS&ISIS (2014)
Keyphrases
- ct images
- computed tomography
- automatic identification
- lung nodules
- lung parenchyma
- pulmonary nodules
- chest radiographs
- region of interest
- ct scans
- low dose
- medical images
- pet ct
- computer tomography
- radiographic images
- nodule detection
- pet images
- lymph nodes
- lung cancer
- three dimensional
- automated segmentation
- computer aided
- medical imaging
- multislice
- input image
- treatment planning
- x ray images
- fracture detection
- image data
- ct data
- image analysis
- x ray
- dual energy
- edge detection
- multiscale
- traumatic brain injury
- image reconstruction
- image registration
- computer aided diagnosis
- pattern recognition
- video sequences
- computer vision
- segmentation algorithm
- accurate segmentation
- clinical applications
- segmentation method
- fully automatic
- magnetic resonance imaging
- automatic segmentation