CNN-Modified Encoders in U-Net for Nuclei Segmentation and Quantification of Fluorescent Images.
Aishwarya ShresthaXuefeng BaoQingsu ChengSusan McRoyPublished in: IEEE Access (2024)
Keyphrases
- microscopy images
- cell nuclei
- microscopic images
- microscope images
- segmentation method
- fluorescence microscopy images
- segmentation algorithm
- test images
- multi channel
- confocal microscopy
- image data
- segmentation errors
- quantitative analysis
- quantitative evaluation
- image analysis
- automated analysis
- cell nucleus
- confocal images
- automated detection
- segmented images
- input image
- fully automatic
- image segmentation
- ground truth
- image registration
- image regions
- accurate segmentation
- segmentation accuracy
- edge detection
- image database
- low contrast
- image segmentation algorithms
- electron microscopy
- watershed transform
- grey level
- image processing
- image features
- three dimensional
- pigmented skin lesions
- region growing
- color image segmentation
- image retrieval
- white blood cells
- cell division
- adaptive thresholding
- high frequency