Abstract Purpose Studies on deep learning dose prediction increasingly focus on 3D models with multiple input channels and data augmentation, which increases the training time and thus also the environmental burden and hampers the ease of re‐training. Here we compare 2D and 3D U‐Net models with clinical accepted plans to evaluate the appropriateness of
Rosalie Klarenberg+2 more
wiley +1 more source
Forecasting cancer incidence and prevalence using age-period-cohort and survivorship models: a practical, flexible, and interpretable framework. [PDF]
Best AF, Filho AM, Rosenberg PS.
europepmc +1 more source
Monte Carlo modeling of radiation dose from radiation therapy with superficial x‐rays
Abstract Introduction Superficial x‐rays (50–100 kVp) are used for treating non‐melanoma skin cancer and intraoperative radiation therapy (IORT). At these energies, the photoelectric effect significantly increases absorbed dose to bone compared to soft tissue.
Reham Barghash+3 more
wiley +1 more source
Spherical multigrid neural operator for improving autoregressive global weather forecasting. [PDF]
Hu Y+6 more
europepmc +1 more source
Behavior-driven forecasts of neighborhood-level COVID-19 spread in New York City. [PDF]
Zhang R+6 more
europepmc +1 more source
Residual XGBoost regression-Based individual moving range control chart for Gross Domestic Product growth monitoring. [PDF]
Aisy RR, Zulfa L, Rahim Y, Ahsan M.
europepmc +1 more source
Advancing Early Warning Systems for Malaria: Progress, challenges, and future directions - A scoping review. [PDF]
Mategula D+4 more
europepmc +1 more source
Research on load forecasting based on CEEMDAN SE VMD and SelfAttention TCN fusion model. [PDF]
Han H, Peng J, Ma J, Liu SL, Liu H.
europepmc +1 more source
Forecasting progress: analyzing the trajectory of under-five child mortality for Ghana, Niger, Nigeria, and Sierra Leone towards SDG3 using ARIMA time series model. [PDF]
Adama ZK, Mettle FO, Baiden BM, Bii NK.
europepmc +1 more source