Automatic Multiorgan Segmentation in Pelvic Region with Convolutional Neural Networks on 0.35 T MR-Linac Images.
Emmanouil KoutoulakisLouis MarageEmmanouil MarkodimitrakisLeone AubignacCatherine JennyIgor BessièresAlain LalandePublished in: Algorithms (2023)
Keyphrases
- image regions
- segmentation algorithm
- segmented images
- grey level
- fully automatic
- input image
- segmentation method
- region of interest
- image registration
- image analysis
- medical images
- image data
- convolutional neural networks
- cardiac magnetic resonance
- pet images
- edge detection
- segmented regions
- region segmentation
- homogeneous regions
- segmentation result
- automated segmentation
- mr brain images
- accurate segmentation
- segmentation scheme
- positron emission tomography
- pixel level
- foreground and background
- region growing
- image segmentation
- ct images
- mr images
- intensity inhomogeneity
- ct scans
- region boundaries
- contrast enhanced
- convolutional network
- intensity distribution
- microscopy images
- initial segmentation
- partial volume
- three dimensional
- prostate segmentation
- mr imaging
- image segments
- magnetic resonance
- level set
- multiresolution
- automatic segmentation
- bias field
- medical imaging
- group wise registration
- ct and mr images