Cell nuclei segmentation in divergent images using deep learning and stochastic processing.
Qing WuShiyu XuHui ZhangXuyang ShiPublished in: Medical Imaging: Digital Pathology (2019)
Keyphrases
- cell nuclei
- deep learning
- fluorescence microscopy images
- microscope images
- automated analysis
- quantitative analysis
- low contrast
- automated detection
- microscopy images
- cell nucleus
- watershed transform
- segmentation algorithm
- cancer diagnosis
- segmentation method
- quantitative evaluation
- nonrigid registration
- test images
- image data
- input image
- image features
- region growing
- multiple objects
- image analysis
- data sets
- machine learning
- image regions
- unsupervised learning
- edge detection
- object recognition
- pattern recognition
- segmentation result
- region of interest
- fully automatic
- watershed segmentation
- supervised learning
- ground truth
- multiscale