Nodule-Plus R-CNN and Deep Self-Paced Active Learning for 3D Instance Segmentation of Pulmonary Nodules.
Wenzhe WangRuiwei FengJintai ChenYifei LuTingting ChenHongyun YuDanny Z. ChenJian WuPublished in: IEEE Access (2019)
Keyphrases
- pulmonary nodules
- computer aided detection
- thoracic ct images
- active learning
- ct images
- computer aided
- computer aided diagnosis
- differential diagnosis
- medical images
- accurate segmentation
- lung nodules
- lung cancer
- ct scans
- segmentation algorithm
- medical imaging
- lung parenchyma
- medical image processing
- ground glass opacity
- image segmentation
- shape prior
- computed tomography
- nodule detection
- automatic segmentation
- medical domain
- experimental design
- breast cancer
- segmentation method
- level set
- region growing
- fully automatic
- training set
- pattern recognition
- three dimensional
- decision trees