Results 231 to 240 of about 797,779 (316)
A review of artificial intelligence in brachytherapy
Abstract Artificial intelligence (AI) has the potential to revolutionize brachytherapy's clinical workflow. This review comprehensively examines the application of AI, focusing on machine learning and deep learning, in various aspects of brachytherapy.
Jingchu Chen+4 more
wiley +1 more source
DNA methylation entropy is a biomarker for aging. [PDF]
Chan J, Rubbi L, Pellegrini M.
europepmc +1 more source
On the Entropy of Certain Classes of Skew-Product Transformations [PDF]
D. Newton
openalex +1 more source
Abstract Skin flash is typically added to breast and chestwall plans to ensure robust target coverage in the presence of respiratory motion, anatomic changes, and small setup uncertainties. Adding skin flash in volumetric modulated arc therapy (VMAT) plans is an iterative and manual process.
Emily Hubley+6 more
wiley +1 more source
Predicting the Rate Structure of an Evolved Metabolic Network. [PDF]
Srienc F, Barrett J.
europepmc +1 more source
Closing the gap in plan quality: Leveraging deep‐learning dose prediction for adaptive radiotherapy
Abstract Purpose Balancing quality and efficiency has been a challenge for online adaptive therapy. Most systems start the online re‐optimization with the original planning goals. While some systems allow planners to modify the planning goals, achieving a high‐quality plan within time constraints remains a common barrier.
Sean J. Domal+9 more
wiley +1 more source
Twenty Years of Kaniadakis Entropy: Current Trends and Future Perspectives. [PDF]
Hristopulos DT+2 more
europepmc +1 more source
Thermochemical Studies on Metal Complexes. IV. Free Energy, Enthalpy, and Entropy Changes of Proton Acetate Complexes in Aqueous Solution. [PDF]
Per Gerding+8 more
openalex +1 more source
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
Prediction of π-electronic energy and physical properties of benzenoid hydrocarbons using domination degree based entropies. [PDF]
Kuriachan G, Parthiban A.
europepmc +1 more source