Upper Esophageal Sphincter Opening Segmentation With Convolutional Recurrent Neural Networks in High Resolution Cervical Auscultation.
Yassin KhalifaCara DonohueJames L. CoyleErvin SejdicPublished in: IEEE J. Biomed. Health Informatics (2021)
Keyphrases
- recurrent neural networks
- high resolution
- region growing
- feed forward
- neural network
- low resolution
- echo state networks
- confocal images
- recurrent networks
- microscopy images
- segmentation algorithm
- artificial neural networks
- reservoir computing
- neural model
- image segmentation
- segmentation method
- multiscale
- hidden layer
- super resolution
- level set
- image processing
- medical images
- quantitative measurements
- complex valued
- feedforward neural networks
- machine learning
- image analysis
- deep learning
- magnetic resonance images
- automatic segmentation
- nonlinear dynamic systems
- cascade correlation
- remote sensing
- high quality
- semi supervised
- face images
- spinal cord
- model selection