DCAU-Net: dense convolutional attention U-Net for segmentation of intracranial aneurysm images.
Wenwen YuanYanjun PengYanfei GuoYande RenQianwen XuePublished in: Vis. Comput. Ind. Biomed. Art (2022)
Keyphrases
- segmentation algorithm
- segmentation method
- test images
- image analysis
- input image
- edge detection
- image regions
- accurate segmentation
- image data
- segmentation errors
- image features
- fully automatic
- three dimensional
- pixel wise
- brain mr images
- adaptive thresholding
- segmented images
- image database
- microscopy images
- displacement field
- image classification
- image segmentation
- image retrieval
- ground truth
- cell nuclei
- positron emission tomography
- pixel level
- grey level
- segmentation accuracy
- brain tumors
- microscopic images
- sift flow
- image segments
- multiple objects
- object recognition
- image sequences
- automatic segmentation
- shape prior
- region of interest
- mr images
- natural images
- partial volume
- level set
- medical images
- image registration
- mr brain images
- automatically segmented