MEDPSeg: End-to-end segmentation of pulmonary structures and lesions in computed tomography.
Diedre S. CarmoJean RibeiroAlejandro P. ComellasJoseph M. ReinhardtSarah E. GerardLetícia RittnerRoberto de Alencar LotufoPublished in: CoRR (2023)
Keyphrases
- end to end
- computed tomography
- ct scans
- medical images
- medical imaging
- ct images
- computed tomography scans
- computer aided diagnosis
- automated segmentation
- liver segmentation
- pet images
- lung nodules
- ct data
- lymph nodes
- imaging modalities
- cardiac ct
- medical image processing
- image reconstruction
- computer tomography
- image analysis
- contrast enhanced
- coronary artery disease
- pet ct
- x ray
- pulmonary nodules
- three dimensional
- congestion control
- anatomical structures
- lung cancer
- magnetic resonance images
- medical image segmentation
- image segmentation
- fracture detection
- computer aided
- image registration
- image processing
- computer vision
- x ray images
- magnetic resonance imaging
- mr images
- patient specific
- level set
- segmentation algorithm
- fully automatic
- segmentation method
- breast cancer
- region of interest
- manual segmentation