Treatment planning in radiation therapy has progressed enormously over the past several
decades. Such advancements came in the form of innovative hardware and algorithms …

Radiation therapy (RT) is currently the main clinical treatment of tumors. Before treatment
initiation, precise delineation of the planned target volume (PTV) and organs at risk (OAR) is …

Objective. To present a transformer-based UNet model (TransDose) for fast and accurate
dose calculation for magnetic resonance-linear accelerators (MR-LINACs). Approach. A 2D …

Precision oncology, which ensures optimized cancer treatment tailored to the unique biology
of a patient's disease, has rapidly developed and is of great clinical importance. Deep …

Veterinary radiation oncology regularly deploys sophisticated contouring, image registration,
and treatment planning optimization software for patient care. Over the past decade …

Purpose Deep learning (DL)-based dose distribution prediction can potentially reduce the
cost of inverse planning process. We developed and introduced a structure-focused loss (L …

Featured Application Fully automated and personalised radiotherapy treatment planning.
Abstract Automated planning (AP) uses common protocols for all patients within a cancer …

Purpose This study focused on predicting 3D dose distribution at high precision and
generated the prediction methods for nasopharyngeal carcinoma patients (NPC) treated …

Methods For this purpose, we input the patient's preoperative CT into a neural network
model to predict the dose distribution. Surgeons were able to quickly locate low-dose …

Background Geometrical information such as field shape is essential for dose calculation in
radiation therapy. However, new methods of dose prediction based on deep learning only …