Evaluating nnU-Net for Type B Aortic Dissection segmentation on CTA images.
Yicun LiChengzhi GuiXin LiTongyun ChenXiquan SongQingliang ChenXingwei AnPublished in: ICBBE (2023)
Keyphrases
- segmentation algorithm
- fully automatic
- segmentation method
- quantitative evaluation
- image analysis
- input image
- image data
- microscopic images
- visual inspection
- segmentation errors
- automatically segmented
- edge detection
- image regions
- ground truth
- image slices
- image database
- test images
- segmented images
- pixel wise
- grey level
- image segments
- adaptive thresholding
- segmentation accuracy
- microscopy images
- accurate segmentation
- tubular structures
- image retrieval
- image segmentation
- piece wise
- computed tomography angiography
- image registration
- image segmentation algorithms
- brain tumors
- pixel level
- region of interest
- level set
- pigmented skin lesions
- three dimensional
- segmentation result
- segmented regions
- contrast enhanced
- multiple objects
- automatic segmentation
- multiscale
- magnetic resonance angiography