Results 51 to 60 of about 805,856 (322)

A review of artificial intelligence in brachytherapy

Journal of Applied Clinical Medical Physics, EarlyView.
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, Richard L. J. Qiu, Tonghe Wang, Shadab Momin, Xiaofeng Yang   +4 more
wiley   +1 more source

Integrating evolutionary algorithms and enhanced-YOLOv8 + for comprehensive apple ripeness prediction

Scientific Reports
The assessment of apple quality is pivotal in agricultural production management, and apple ripeness is a key determinant of apple quality. This paper proposes an approach for assessing apple ripeness from both structured and unstructured observation ...
Yuchi Li, Zhigao Wang, Aiwei Yang, Xiaoqi Yu   +3 more
doaj   +1 more source

Prevalence of Chlamydia trachomatis infection in women, heterosexual men and MSM visiting HIV counselling institutions in North Rhine-Westphalia, Germany - should Chlamydia testing be scaled up?

BMC Infectious Diseases, 2016
Background Patients asking for a free anonymous HIV test may have contracted other sexually transmitted infections (STIs) such as Chlamydia trachomatis, yet Chlamydia prevalence in that population is unknown. This study aimed to assess the prevalence and
Anne Lallemand, Viviane Bremer, Klaus Jansen, Stine Nielsen, Dieter Münstermann, Andreas Lucht, Carsten Tiemann   +6 more
doaj   +1 more source

Open‐source deep‐learning models for segmentation of normal structures for prostatic and gynecological high‐dose‐rate brachytherapy: Comparison of architectures

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Background The use of deep learning‐based auto‐contouring algorithms in various treatment planning services is increasingly common. There is a notable deficit of commercially or publicly available models trained on large or diverse datasets containing high‐dose‐rate (HDR) brachytherapy treatment scans, leading to poor performance on images ...
Andrew J. Krupien, Yasin Abdulkadir, Dishane C. Luximon, John Charters, Huiming Dong, Jonathan Pham, Dylan O'Connell, Jack Neylon, James M. Lamb   +8 more
wiley   +1 more source

Risk analysis of the Unity 1.5T MR‐Linac adapt‐to‐shape workflow

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Background and Purpose The adapt‐to‐shape (ATS) workflow on the Unity MR‐Linac (Elekta AB, Stockholm, Sweden) allows for full replanning including recontouring and reoptimization5. Additional complexity to this workflow is added when the adaptation involves the use of MIM Maestro (MIM Software, Cleveland, OH) software in conjunction with ...
Jiayi Liang, Eric Aliotta, Neelam Tyagi, Paola Godoy Scripes, Nicolas Côté, Ergys Subashi, Qijie Huang, Lian Sun, Ching‐Yun Chan, Angela Ng, Theresa Wunner, Victoria Brennan, Kaveh Zakeri, James Mechalakos   +13 more
wiley   +1 more source

Research on parallel data processing of data mining platform in the background of cloud computing

Journal of Intelligent Systems, 2021
The efficient processing of large-scale data has very important practical value. In this study, a data mining platform based on Hadoop distributed file system was designed, and then K-means algorithm was improved with the idea of max-min distance.
Bu Lingrui, Zhang Hui, Xing Haiyan, Wu Lijun   +3 more
doaj   +1 more source

Unsupervised non‐small cell lung cancer tumor segmentation using cycled generative adversarial network with similarity‐based discriminator

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Background Tumor segmentation is crucial for lung disease diagnosis and treatment. Most existing deep learning‐based automatic segmentation methods rely on manually annotated data for network training. Purpose This study aims to develop an unsupervised tumor segmentation network smic‐GAN by using a similarity‐driven generative adversarial ...
Chengyijue Fang, Xiaoyang Li, Yidong Yang   +2 more
wiley   +1 more source

Breakthrough Solution for Antimicrobial Resistance Detection: Surface‐Enhanced Raman Spectroscopy‐based on Artificial Intelligence

Advanced Materials Interfaces, EarlyView., 2023
This review discusses the use of Surface‐Enhanced Raman Spectroscopy (SERS) combined with Artificial Intelligence (AI) for detecting antimicrobial resistance (AMR). Various SERS studies used with AI techniques, including machine learning and deep learning, are analyzed for their advantages and limitations.
Zakarya Al‐Shaebi, Munevver Akdeniz, Awel Olsido Ahmed, Mine Altunbek, Omer Aydin   +4 more
wiley   +1 more source

Microstructural characteristics of low-temperature (1400°C) sintered MgO obtained from seawater [PDF]

Science of Sintering, 2017
The purpose of this study was to investigate the influence of a rinsing of Mg(OH)2 precipitated from seawater by substoichiometric precipitation (80% precipitation) and the addition of TiO2 on microstructural characteristics of the MgO obtained ...
Jakić Jelena, Štefanić Goran, Labor Miroslav, Martinac Vanja   +3 more
doaj   +1 more source

Clinical Trial Readiness in Limb Girdle Muscular Dystrophy R1 (LGMDR1): A GRASP Consortium Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Identifying functional measures that are both valid and reliable in the limb girdle muscular dystrophy (LGMD) population is critical for quantifying the level of functional impairment related to disease progression in order to establish clinical trial readiness in the context of anticipated therapeutic trials.
Stephanie M. Hunn, Lindsay N. Alfano, Aileen Jones, Amanda Butler, Linda P. Lowes, Megan A. Iammarino, Natalie F. Reash, Lindsay Pietruszewski, Sandhya Sasidharan, Melissa Currence, Jeffrey M. Statland, Talia Strahler, Robert Will, Matthew Wicklund, Stacy Dixon, Renee Augsburger, Tahseen Mozaffar, Katie M. Laubscher, Shelley R. H. Mockler, Katherine D. Mathews, Nikia Stinson, Doris G. Leung, Molly M. Stark, Rebecca A. Horton, Peter B. Kang, Meredith K. James, Amanda Clause, Conrad C. Weihl, Nicholas E. Johnson, GRASP‐LGMD Consortium   +29 more
wiley   +1 more source