Automatic segmentation of organs at risk and tumors in CT images of lung cancer from partially labelled datasets with a semi-supervised conditional nnU-Net.
Guobin ZhangZhiyong YangBin HuoShude ChaiShan JiangPublished in: Comput. Methods Programs Biomed. (2021)
Keyphrases
- lymph nodes
- automatic segmentation
- pet ct
- ct images
- lung cancer
- lung cancer patients
- ct data
- medical images
- manual segmentation
- medical imaging
- risk factors
- computed tomography
- lung nodules
- segmentation algorithm
- accurate segmentation
- ct scans
- pulmonary nodules
- liver segmentation
- risk management
- early detection
- automated detection
- pet images
- treatment planning
- anatomical structures
- automatic detection
- cancer diagnosis
- risk assessment
- region of interest
- image segmentation
- ground glass opacity
- computer tomography
- magnetic resonance images
- graph cuts
- image analysis
- pairwise