Regenerative Semi-Supervised Bidirectional W-Network-Based Knee Bone Tumor Classification on Radiographs Guided by Three-Region Bone Segmentation.
Ngoc-Huynh HoHyung-Jeong YangSoo-Hyung KimSung Taek JungSang-Don JooPublished in: IEEE Access (2019)
Keyphrases
- bone segmentation
- semi supervised
- tumor classification
- fracture detection
- computer assisted
- ct images
- treatment planning
- clinical applications
- semi supervised learning algorithms
- multi step
- active shape model
- x ray
- semi supervised learning
- region of interest
- x ray images
- anatomical structures
- ct scans
- gene selection
- feature selection
- computer aided
- gene expression profiles
- gene expression data
- intraoperative
- multi view
- medical images
- object reconstruction
- supervised methods
- magnetic resonance
- pairwise
- active learning
- input image
- labeled data
- unlabeled data
- computed tomography
- dimensionality reduction
- text classification
- unsupervised methods
- confidence intervals
- three dimensional
- data sets