Improving Automated Lung Segmentation in Ct Images by Adding Anomalies Adjacent to the Pleura.
Azael de Melo e SousaIlan F. Da SilvaNoemí Maritza Lapa RomeroRachel ZerbiniFabiano ReisJoão Luiz Dihl CombaAlexandre X. FalcãoPublished in: ISBI (2022)
Keyphrases
- ct images
- medical images
- ct scans
- automated segmentation
- medical imaging
- pet ct
- lung parenchyma
- liver segmentation
- computed tomography
- lung nodules
- fracture detection
- computer tomography
- ground glass opacity
- pet images
- anatomical knowledge
- treatment planning
- medical image segmentation
- bone segmentation
- image segmentation
- region of interest
- lymph nodes
- nodule detection
- traumatic pelvic
- computer aided diagnosis
- fully automatic
- magnetic resonance images
- medical image processing
- pulmonary nodules
- radiation therapy
- lung disease
- magnetic resonance
- completely automated
- segmentation method
- segmentation algorithm
- image processing
- x ray
- ct imaging
- level set
- image analysis
- multislice
- region growing
- clinical applications
- magnetic resonance imaging
- computer aided detection
- anatomical structures
- patient specific
- lung cancer
- imaging modalities
- ct data