Unsupervised Cryo-EM Images Denoising and Clustering Based on Deep Convolutional Autoencoder and K-Means++.
Dong-Xu ZhangYang YanYulin HuangBowen LiuQing-Bing ZhengJun ZhangNing-Shao XiaPublished in: IEEE Trans. Medical Imaging (2023)
Keyphrases
- denoising
- k means
- image database
- image data
- input image
- image analysis
- denoising methods
- gaussian noise
- image set
- image denoising
- restricted boltzmann machine
- electron microscopy
- image retrieval
- image features
- image registration
- unsupervised clustering
- edge detection
- image classification
- three dimensional
- expectation maximization
- test images
- image regions
- multiresolution
- computer vision
- wavelet denoising
- deep learning
- unsupervised learning
- maximum likelihood
- multiscale
- deep belief networks
- removing noise
- noisy images
- segmentation method
- semi supervised
- probabilistic model
- object recognition
- face recognition
- clustering algorithm