Deep multi-task prediction of lung cancer and cancer-free progression from censored heterogenous clinical imaging.
Riqiang GaoLingfeng LiYucheng TangSanja L. AnticAlexis B. PaulsonYuankai HuoKim L. SandlerPierre P. MassionBennett A. LandmanPublished in: Medical Imaging: Image Processing (2020)
Keyphrases
- lung cancer
- multi task
- prognostic factors
- lung cancer patients
- multi task learning
- early detection
- disease progression
- cancer diagnosis
- learning tasks
- clinical applications
- cancer cells
- survival prediction
- lymph nodes
- multi class
- pet ct
- feature selection
- image analysis
- learning problems
- medical imaging
- transfer learning
- image processing
- risk factors
- clinical practice
- clinical data
- information gain
- brain imaging
- learning algorithm