Metabolic Anomaly Appearance Aware U-Net for Automatic Lymphoma Segmentation in Whole-Body PET/CT Scans.
Tianyu ShiHuiyan JiangMeng WangZhaoshuo DiaoGuoxu ZhangYu-Dong YaoPublished in: IEEE J. Biomed. Health Informatics (2023)
Keyphrases
- ct scans
- automated segmentation
- ct images
- computer tomography
- fracture detection
- medical images
- computed tomography
- fully automatic
- positron emission tomography
- x ray
- rigid registration
- abdominal organs
- computer aided detection
- organ segmentation
- medical imaging
- registration process
- ct data
- image reconstruction
- segmentation algorithm
- bone segmentation
- registration accuracy
- liver segmentation
- pulmonary nodules
- computer aided diagnosis
- imaging modalities
- region of interest
- segmentation method
- level set
- image segmentation
- magnetic resonance imaging
- lung nodules
- treatment planning
- gene expression data
- video sequences
- accurate segmentation
- decision trees
- breast cancer
- appearance model
- image analysis