Results 251 to 260 of about 8,523,736 (360)
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
Abstract This study compared three Brainlab thermoplastic masks—Cranial 4pi basic, stereotactic (Close Mask V2), and open‐face—to see how well they limited head movement during Stereotactic Radiosurgery (SRS). Using a head phantom, we tested rotational movements (pitch, yaw, and roll) and measured displacements with the ExacTrac system.
Iris Pasion Apale+2 more
wiley +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
Abstract Current radiotherapy practices rely on manual contouring of CT scans, which is time‐consuming, prone to variability, and requires highly trained experts. There is a need for more efficient and consistent contouring methods. This study evaluated the performance of the Varian Ethos AI auto‐contouring tool to assess its potential integration into
Robert N. Finnegan+6 more
wiley +1 more source
Science and environmental sustainability
openaire +3 more sources