Bifurcated Autoencoder for Segmentation of COVID-19 Infected Regions in CT Images.
Parham YazdekhastyAli ZindariZahra Nabizadeh-ShahreBabakRoshanak RoshandelPejman KhadiviNader KarimiShadrokh SamaviPublished in: ICPR Workshops (2) (2020)
Keyphrases
- ct images
- medical images
- medical imaging
- pet ct
- region of interest
- liver segmentation
- lung nodules
- fracture detection
- computed tomography
- computer tomography
- optical fiber
- accurate segmentation
- pet images
- anatomical knowledge
- treatment planning
- ct scans
- lung parenchyma
- bone segmentation
- segmented images
- medical image segmentation
- level set
- anatomical structures
- mr images
- image segmentation
- computer aided diagnosis
- lymph nodes
- ground glass opacity
- input image
- fully automatic
- magnetic resonance
- automated segmentation
- imaging modalities
- segmentation result
- ct data
- magnetic resonance imaging
- vessel segmentation
- computer aided
- x ray images
- segmentation method
- segmentation algorithm
- x ray
- three dimensional