Automated CT pancreas segmentation for acute pancreatitis patients by combining a novel object detection approach and U-Net.
Yang DengLan LanLei YouKai ChenLi PengWeiling ZhaoBin SongYi WangZhiwei JiXiaobo ZhouPublished in: Biomed. Signal Process. Control. (2023)
Keyphrases
- object detection
- medical images
- object segmentation
- automated segmentation
- ct scans
- medical imaging
- background subtraction
- image parsing
- mri images
- brain mri
- level set
- segmentation algorithm
- ct images
- mri brain
- image segmentation
- segmentation method
- image slices
- computed tomography
- lymph nodes
- x ray
- object categories
- medical data
- three dimensional
- fully automatic
- caudate nucleus
- clinical data
- scene understanding
- shape prior
- fully automated
- inter patient
- multi class
- computer tomography
- computer vision
- acute myeloid
- lung nodules
- image analysis
- ct data
- statistical shape model
- magnetic resonance images
- region growing
- pet ct
- physiological parameters
- computer aided
- mr images
- ischemic stroke
- face detection
- ct and mr images