InvUnet: Inverse the Unet for Nuclear Segmentation in H&E Stained Images.
Lifeng ZhangBin LiPublished in: ICACI (2020)
Keyphrases
- microscopic images
- segmentation method
- segmentation algorithm
- microscopy images
- cell nuclei
- image analysis
- test images
- image regions
- image features
- accurate segmentation
- edge detection
- grey level
- unsupervised segmentation
- image segmentation
- segmented images
- segmentation errors
- image slices
- image database
- image data
- segmentation accuracy
- microscope images
- input image
- quantitative evaluation
- ground truth
- pixel wise
- tubular structures
- adaptive thresholding
- textural features
- digitized images
- low depth of field
- automatic segmentation
- three dimensional
- object recognition
- image retrieval
- piece wise
- pixel level
- image segmentation algorithms
- outdoor scenes
- foreground and background
- watershed transform
- automated analysis
- fully automatic
- image registration
- intensity images
- low contrast
- multiple objects
- image gradient
- background subtraction
- image segments
- positron emission tomography
- medical images
- brain tumors
- gray value
- pigmented skin lesions