Internet of Medical Things - Based on Deep Learning Techniques for Segmentation of Lung and Stroke Regions in CT Scans.
Tao HanVirgínia Xavier NunesLuís Fabrício de F. SouzaAdriell Gomes MarquesIágson Carlos Lima SilvaMarcos Aurelio A. Ferreira JuniorJinghua SunPedro Pedrosa Rebouças FilhoPublished in: IEEE Access (2020)
Keyphrases
- ct scans
- deep learning
- medical imaging
- computed tomography
- ct images
- region of interest
- medical images
- x ray
- computer tomography
- ct data
- organ segmentation
- computer aided diagnosis
- computer aided detection
- accurate segmentation
- image segmentation
- unsupervised learning
- image regions
- fracture detection
- medical diagnosis
- machine learning
- segmentation algorithm
- image analysis
- automatically segmented
- mental models
- segmentation result
- treatment planning
- medical image processing
- segmentation method
- weakly supervised
- level set
- computed tomography images
- image registration
- lung nodules
- automatic segmentation
- computer vision
- image processing
- pulmonary nodules
- deformable models
- shape prior
- multiscale
- active shape model
- computer aided
- data mining