Automated delineation of lung tumors from CT images using a single click ensemble segmentation approach.
Yuhua GuVirendra KumarLawrence O. HallDmitry B. GoldgofChing-Yen LiRené KornClaus BendtsenEmmanuel Rios VelazquezAndre DekkerHugo J. W. L. AertsPhilippe LambinXiuli LiJie TianRobert A. GatenbyRobert J. GilliesPublished in: Pattern Recognit. (2013)
Keyphrases
- ct images
- medical images
- ct scans
- pet ct
- lymph nodes
- computed tomography
- automated segmentation
- medical imaging
- lung parenchyma
- liver segmentation
- lung nodules
- fracture detection
- computer tomography
- segmentation algorithm
- pet images
- ground glass opacity
- anatomical knowledge
- segmentation method
- bone segmentation
- ct data
- region of interest
- treatment planning
- lung cancer
- region growing
- x ray
- brain tumors
- image segmentation
- pulmonary nodules
- traumatic pelvic
- medical image analysis
- accurate segmentation
- level set
- fully automatic
- nodule detection
- anatomical structures
- imaging modalities
- contrast enhanced
- radiation therapy
- medical image processing
- computer aided diagnosis
- positron emission tomography
- fully automated
- traumatic brain injury
- magnetic resonance
- computer aided
- image registration