Gated Recurrent Unit-Based RNN for Remote Photoplethysmography Signal Segmentation.
Rita Meziati SabourYannick BenezethPublished in: CVPR Workshops (2022)
Keyphrases
- recurrent neural networks
- image segmentation
- level set
- segmentation method
- low signal to noise ratio
- multiscale
- feed forward
- nearest neighbor
- segmentation algorithm
- signal processing
- neural network
- non stationary
- medical images
- frequency domain
- blood pool
- edge detection
- low grade gliomas
- signal detection
- segmentation errors
- real time
- accurate segmentation
- shape prior
- region growing
- image analysis
- ground truth
- fully automatic
- energy function
- object segmentation
- multiple objects
- fully unsupervised
- original signal
- input image