RIC-Unet: An Improved Neural Network Based on Unet for Nuclei Segmentation in Histology Images.
Zitao ZengWeihao XieYunzhe ZhangYao LuPublished in: IEEE Access (2019)
Keyphrases
- microscopic images
- segmentation method
- microscopy images
- segmentation algorithm
- cell nuclei
- image analysis
- test images
- fully automatic
- edge detection
- image database
- input image
- image data
- adaptive thresholding
- ground truth
- piece wise
- accurate segmentation
- unsupervised segmentation
- segmented images
- pixel wise
- quantitative evaluation
- image segmentation algorithms
- microscope images
- segmentation errors
- segmentation accuracy
- multiple objects
- intensity images
- tubular structures
- positron emission tomography
- automated analysis
- image segmentation
- bounding box
- object segmentation
- automatically segmented
- image registration
- multiscale
- low depth of field
- image slices
- mouse brain
- low contrast
- electron microscopy
- shape prior
- medical imaging
- markov random field
- object recognition
- three dimensional