Nucleus Segmentation of Cervical Cytology Images Based on Depth Information.
Tao WangJinjie HuangDequan ZhengYongjun HePublished in: IEEE Access (2020)
Keyphrases
- depth information
- microscopy images
- segmentation algorithm
- segmentation method
- image based rendering
- depth map
- test images
- spinal cord
- depth recovery
- image data
- input image
- depth estimates
- depth cues
- image segmentation
- ground truth
- three dimensional
- stereo vision
- cell nuclei
- depth images
- rgbd images
- disparity map
- region growing
- shape from focus
- image features
- intensity images
- cell nucleus
- depth data
- object recognition
- stereo matching
- medical images
- real time
- high quality
- image registration
- level set
- multiscale
- computer vision
- feature points