Identification of non-small-cell lung cancer subtypes by unsupervised clustering of CT image features with distinct prognoses and gene pathway activities.
Kexin HuangLifeng YangYubo WangLiyu HuangXiaobo ZhouWei ZhangPublished in: Biomed. Signal Process. Control. (2022)
Keyphrases
- lung cancer
- unsupervised clustering
- cancer diagnosis
- diagnosis of lung cancer
- image features
- cancer cells
- lymph nodes
- signaling pathways
- pulmonary nodules
- supervised classification
- ground glass opacity
- pet ct
- survival prediction
- lung cancer patients
- gene expression
- clustering method
- microarray
- ct images
- k means
- image segmentation
- gene selection
- x ray
- clustering algorithm
- cancer classification
- fuzzy c means
- gene expression profiles
- computer vision
- computed tomography
- document clustering
- ct scans
- fuzzy logic