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
How Secondary Interventions Reduce the Burden of Alcohol Consumption at Risk of Cirrhosis: A Public Health Decision-Making Model. [PDF]
Delacôte C+5 more
europepmc +1 more source
An Address ON MITRAL STENOSIS, Delivered at the Opening of the Winter Session, Post Graduate Course, Mount Vernon Hospital for Consumption and Diseases of the Chest [PDF]
John D. Barr
openalex +1 more source
Dose rate correction of a diode array for universal wedge field dosimetric verification
Abstract Purpose To study the performance of MapCHECK 3 (MC3) in measuring universal wedge fields and propose a dose rate correction strategy to improve MC3 measurement accuracy. Materials and methods Universal wedge fields with different wedge angles and field sizes were measured at different depths using MC3.
Linyi Shen+6 more
wiley +1 more source
Industrial water consumption efficiency and driving factors based on the super-efficient SBM and Tobit approach. [PDF]
Duo H+7 more
europepmc +1 more source
The mechanism of ciliary movement.—IV. The relation of ciliary activity to oxygen consumption
J. Gray
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Bone‐wise rigid registration of femur, tibia, and fibula for the tracking of temporal changes
Abstract Background Multiple myeloma (MM) induces temporal alterations in bone structure, such as osteolytic bone lesions, which are challenging to identify through manual image interpretation. The large variation in radiologists' assessments, even at expert centers, further complicates diagnosis.
Arttu Ruohola+5 more
wiley +1 more source
Exploring social influences and values in promoting sustainable food consumption using hybrid three stage methods. [PDF]
Wu Y, Yu J.
europepmc +1 more source
Abstract Background This study aims to develop a novel predictive model for determining human papillomavirus (HPV) presence in oropharyngeal cancer using computed tomography (CT). Current image‐based HPV prediction methods are hindered by high computational demands or suboptimal performance.
Junhua Chen+3 more
wiley +1 more source