Automatic myocardial segmentation in dynamic contrast enhanced perfusion MRI using Monte Carlo dropout in an encoder-decoder convolutional neural network.
Yoon-Chul KimKhu Rai KimYeon Hyeon ChoePublished in: Comput. Methods Programs Biomed. (2020)
Keyphrases
- monte carlo
- dynamic contrast enhanced
- mr images
- magnetic resonance
- breast mri
- convolutional neural network
- mri data
- dce mri
- accurate segmentation
- magnetic resonance images
- medical images
- magnetic resonance imaging
- left ventricular
- fully automatic
- nonrigid registration
- phase contrast
- cardiac mr
- manual segmentation
- image data
- markov chain
- computer aided
- brain tumors
- bit rate
- image registration
- breast cancer
- motion estimation
- anatomical structures
- medical imaging
- segmentation result
- face detection
- differential diagnosis
- semi automatic
- contrast enhanced
- atlas based segmentation
- active contour model
- visual quality
- image processing
- computer vision