Healthy Kidney Segmentation in the Dce-Mr Images Using a Convolutional Neural Network and Temporal Signal Characteristics.
Artur KlepaczkoEli EikefjordArvid LundervoldPublished in: Sensors (2021)
Keyphrases
- mr images
- accurate segmentation
- medical images
- convolutional neural network
- brain mr images
- magnetic resonance
- partial volume
- mr brain
- brain tumors
- magnetic resonance images
- segmentation result
- brain structures
- intensity inhomogeneity
- manual segmentation
- dice similarity coefficient
- mr imaging
- mri data
- bias field
- mr brain images
- cardiac magnetic resonance
- intensity distribution
- dce mri
- face detection
- inhomogeneity correction
- image data
- tissue segmentation
- anatomical structures
- inter patient
- brain tissue
- atlas construction
- brain mri
- phantom images
- contrast enhanced
- prostate cancer
- segmentation algorithm
- nonrigid registration
- level set
- automated segmentation
- ct images
- quantitative measurements
- model based segmentation
- medical imaging
- neural network
- brain images
- automatic initialization
- low signal to noise ratio
- brain segmentation
- lesion segmentation
- segmentation method
- deformable models
- automatic segmentation
- low contrast
- atlas based segmentation
- image analysis
- computed tomography
- image intensity
- image segmentation