mDixon-Based Synthetic CT Generation for PET Attenuation Correction on Abdomen and Pelvis Jointly Using Transfer Fuzzy Clustering and Active Learning-Based Classification.
Pengjiang QianYangyang ChenJung-Wen KuoYu-Dong ZhangYizhang JiangKaifa ZhaoRose Al HeloHarry FrielAtallah BaydounFeifei ZhouJin Uk HeoNorbert AvrilKarin HerrmannRodney J. EllisBryan J. TraughberRobert S. JonesShitong WangKuan-Hao SuRaymond F. Muzic Jr.Published in: IEEE Trans. Medical Imaging (2020)
Keyphrases
- fuzzy clustering
- active learning
- ct scans
- clustering analysis
- fuzzy c means
- fuzzy clustering algorithm
- fuzzy clustering algorithms
- fuzzy c means algorithm
- clustering algorithm
- fuzzy clustering method
- intuitionistic fuzzy
- decision trees
- image reconstruction
- medical images
- machine learning
- x ray
- training set
- pattern recognition
- real world
- membership functions
- cluster analysis
- fuzzy c means clustering algorithm
- feature extraction
- supervised learning
- feature vectors
- ct images
- learning algorithm
- feature selection
- hard c means
- membership values
- artificial intelligence
- decision making
- deformable registration
- image processing
- anatomical structures
- medical imaging
- unsupervised learning