An unsupervised metaheuristic search approach for segmentation and volume measurement of pulmonary nodules in lung CT scans.
Elham ShakibapourAntónio CunhaGuilherme ArestaAna Maria MendonçaAurélio CampilhoPublished in: Expert Syst. Appl. (2019)
Keyphrases
- ct scans
- pulmonary nodules
- metaheuristic
- ct images
- automated segmentation
- computer aided detection
- search space
- thoracic ct images
- computed tomography
- computer tomography
- x ray
- lung parenchyma
- tabu search
- medical images
- computer aided
- medical imaging
- computer aided diagnosis
- lung cancer
- simulated annealing
- ct data
- optimization problems
- genetic algorithm
- ground glass opacity
- search algorithm
- lung nodules
- region of interest
- image analysis
- optimal solution
- fracture detection
- low dose
- search procedure
- segmentation method
- medical image processing
- segmentation algorithm
- image segmentation
- particle swarm optimization
- level set
- medical domain
- accurate segmentation
- breast cancer
- image reconstruction
- mr images
- markov random field
- text mining
- high quality