Segmentation of Cervical Cell Images Based on Generative Adversarial Networks.
Jinjie HuangGuihua YangBiao LiYongjun HeYani LiangPublished in: IEEE Access (2021)
Keyphrases
- microscopy images
- microscopic images
- confocal images
- segmentation algorithm
- image analysis
- segmentation method
- cell nuclei
- microscope images
- cell segmentation
- edge detection
- unsupervised segmentation
- spinal cord
- fluorescence microscopy images
- input image
- image regions
- accurate segmentation
- test images
- image features
- ground truth
- region growing
- adaptive thresholding
- image database
- segmented images
- image data
- segmentation errors
- image segmentation
- pixel wise
- tubular structures
- multiscale
- segmentation result
- automatically segmented
- automatically segmenting
- three dimensional
- grey level
- fully automatic
- image classification
- image retrieval
- segmentation accuracy
- pixel level
- image slices
- image segmentation algorithms
- gray value
- intensity images
- multiple objects
- object segmentation
- image set
- cell nucleus
- object recognition
- white blood