Author Correction: Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials.
Andre EstevaJean FengDouwe van der WalShih-Cheng HuangJeffry P. SimkoSandy DevriesEmmalyn ChenEdward M. SchaefferTodd M. MorganYilun SunAmirata GhorbaniNikhil NaikDhruv NathawaniRichard SocherJeff M. MichalskiMack RoachThomas M. PisanskyJedidiah M. MonsonFarah NazJames WallaceMichelle J. FergusonJean-Paul BaharyJames ZouMatthew P. LungrenSerena YeungAshley E. RossMichael J. KucharczykLuis SouhamiLeslie BallasChristopher A. PetersSandy LiuAlexander G. BaloghPamela D. Randolph-JacksonDavid L. SchwartzMichael R. GirvigianNaoyuki G. SaitoAdam RabenRachel A. RabinovitchKhalil KatatoHoward M. SandlerPhuoc T. TranDaniel E. SprattStephanie PughFelix Y. FengOsama MohamadPublished in: npj Digit. Medicine (2023)
Keyphrases
- multi modal
- deep learning
- prostate cancer
- clinical trials
- disease progression
- cancer patients
- unsupervised learning
- decision support system
- image guided
- computer aided
- mr images
- deformable registration
- imaging modalities
- machine learning
- medical image analysis
- high dimensional
- experimental design
- cross sectional
- radiation therapy
- particle filter
- image analysis
- expert systems
- multiscale
- decision trees