Results 111 to 120 of about 2,325,865 (365)

A comparative analysis of deep learning architectures with data augmentation and multichannel input for locoregional breast cancer radiotherapy

Journal of Applied Clinical Medical Physics, EarlyView.
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, Nienke L. M. Bakx, Coen W. Hurkmans   +2 more
wiley   +1 more source

Characteristics of turbulent mixing at late stage of the Richtmyer-Meshkov instability

AIP Advances, 2017
We present a model for the mixing width, h, at self-similar stage of the Richtmyer-Meshkov instability (RMI). The derivation of the model is based on the formula of the growth rate of mixing width [Gao et al., Phys.
Fujie Gao, Yousheng Zhang, Zhiwei He, Li Li, Baolin Tian   +4 more
doaj   +1 more source

Computational Processes and Incompleteness

, 2009
We introduce a formal definition of Wolfram's notion of computational process based on cellular automata, a physics-like model of computation. There is a natural classification of these processes into decidable, intermediate and complete.
Anthony K. Seda, Damien Woods, Klaus Sutner, Niall Murphy, Turlough Neary   +4 more
core   +2 more sources

Topologization of electron liquids with Chern-Simons theory and quantum computation [PDF]

arXiv, 2006
We discuss a nexus among quantum topology, quantum physics and quantum computing.
arxiv  

Bone‐wise rigid registration of femur, tibia, and fibula for the tracking of temporal changes

Journal of Applied Clinical Medical Physics, EarlyView.
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, Ville Haapamäki, Eero Salli, Tuomas Kaseva, Marko Kangasniemi, Sauli Savolainen   +5 more
wiley   +1 more source

Computational Particle Physics for Event Generators and Data Analysis

, 2012
High-energy physics data analysis relies heavily on the comparison between experimental and simulated data as stressed lately by the Higgs search at LHC and the recent identification of a Higgs-like new boson.
Perret-Gallix, Denis
core   +2 more sources

Human papillomavirus (HPV) prediction for oropharyngeal cancer based on CT by using off‐the‐shelf features: A dual‐dataset study

Journal of Applied Clinical Medical Physics, EarlyView.
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, Yanyan Cheng, Lijun Chen, Banghua Yang   +3 more
wiley   +1 more source

Generalized One-Dimensional Periodic Potential Wells Tending to the Dirac Delta Potential

Physics
The solution of a quantum periodic potential in solid state physics is relevant because one can understand how electrons behave in a corresponding crystal.
F. Mendoza-Villa, Juan A. Ramos-Guivar, R. M. Espinoza-Bernardo   +2 more
doaj   +1 more source

Monte Carlo modeling of radiation dose from radiation therapy with superficial x‐rays

Journal of Applied Clinical Medical Physics, EarlyView.
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, Tiffany W. Martin, Amber R. Prebble, Del Leary   +3 more
wiley   +1 more source

Development and evaluation of granular simulation for integrating computational thinking into computational physics courses. [PDF]

Educ Inf Technol (Dordr), 2022
Muliyati D, Sumardani D, Siswoyo S, Bakri F, Permana H, Handoko E, Sari NLK.   +6 more
europepmc   +1 more source