Machine learning-powered prediction of recurrence in patients with non-small cell lung cancer using quantitative clinical and radiomic biomarkers.
Sehwa MoonDahim ChoiJi-Yeon LeeMyoung-Hee KimHelen HongBong-Seog KimJang-Hwan ChoiPublished in: Medical Imaging: Computer-Aided Diagnosis (2020)
Keyphrases
- prognostic factors
- lung cancer
- breast cancer
- lung cancer patients
- machine learning
- cancer cells
- cancer patients
- clinical trials
- early detection
- clinical decision making
- survival prediction
- automated detection
- pet ct
- disease progression
- clinical data
- logistic regression
- survival analysis
- cancer diagnosis
- patient groups
- statistical methods
- data mining
- machine learning methods
- lymph nodes
- computer aided diagnosis
- clinically relevant
- cell segmentation
- risk factors
- feature selection
- computer aided
- patient data
- early diagnosis