Dual-region radiomics signature: Integrating primary tumor and lymph node computed tomography features improves survival prediction in esophageal squamous cell cancer.
Nian LuWei-Jing ZhangLu DongJun-Ying ChenYan-Lin ZhuSheng-Hai ZhangJian-Hua FuShao-Han YinZhi-Cheng LiChuan-Miao XiePublished in: Comput. Methods Programs Biomed. (2021)
Keyphrases
- lymph nodes
- lung cancer
- survival prediction
- computed tomography
- lung cancer patients
- cancer diagnosis
- ct data
- automatic detection
- ct images
- ct scans
- automatic segmentation
- early detection
- medical images
- image reconstruction
- extracted features
- feature extraction
- clinical practice
- medical imaging
- clinical data
- intraoperative
- pet images
- image segmentation
- blood vessels
- high dimensionality
- clinical applications
- region of interest
- graph cuts
- three dimensional