WGAN-Based Synthetic Minority Over-Sampling Technique: Improving Semantic Fine-Grained Classification for Lung Nodules in CT Images.
Qingfeng WangXuehai ZhouChao WangZhiqin LiuJun HuangYing ZhouChanglong LiHang ZhuangJie-Zhi ChengPublished in: IEEE Access (2019)
Keyphrases
- lung nodules
- fine grained
- ct images
- coarse grained
- computed tomography
- medical images
- medical imaging
- ct scans
- computer aided diagnosis
- x ray images
- low dose
- access control
- region of interest
- x ray
- computer aided detection
- nodule detection
- pattern recognition
- pulmonary nodules
- computer tomography
- magnetic resonance imaging
- breast cancer