High-quality label-free prediction of fluorescence images through stimulated Raman scattering imaging and recurrent deep neural network.
Tianrun ChenYing ZangJia ZhangDelong ZhangPublished in: Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2023)
Keyphrases
- image analysis
- neural network
- high quality
- image database
- confocal microscopy
- ground truth
- input image
- image data
- fluorescence microscopy
- acquired images
- image features
- low quality
- three dimensional
- optical properties
- imaging process
- imaging devices
- high resolution
- object recognition
- prediction model
- image processing
- confocal laser scanning microscopy
- positron emission tomography
- digital imaging
- artificial neural networks
- image set
- recurrent neural networks
- edge detection
- image registration
- clinical applications
- neural network is trained
- micro ct
- microscope images
- segmentation algorithm
- imaging technology
- image classification
- image retrieval
- cell division
- integral imaging
- single image
- ccd camera
- back propagation
- feed forward
- image acquisition