Impact of segmentation uncertainties on computer-aided diagnosis of pulmonary nodules.
Michael C. LeeRafael WiemkerLilla BöröczkyKivilcim Sungur-StasikAaron D. CannAlain C. BorczukSteven M. KawutCharles A. PowellPublished in: Int. J. Comput. Assist. Radiol. Surg. (2008)
Keyphrases
- computer aided diagnosis
- pulmonary nodules
- medical images
- thoracic ct images
- medical imaging
- image analysis
- computer aided
- lung nodules
- lesion detection
- differential diagnosis
- organ segmentation
- breast cancer
- ct scans
- ground glass opacity
- image segmentation
- segmentation algorithm
- ct images
- cad systems
- accurate segmentation
- mr images
- pectoral muscle
- benign and malignant
- shape prior
- medical diagnosis
- segmentation method
- computer vision
- dce mri
- medical image processing
- magnetic resonance images
- single photon emission computed tomography
- support vector
- feature extraction
- automated segmentation
- level set
- x ray
- segmentation result
- medical domain
- clinical practice
- lung cancer
- magnetic resonance imaging
- region growing