Results 121 to 130 of about 1,028,974 (354)

Fekete-Szegö Inequalities of a Subclass of Multivalent Analytic Functions

Annals of the West University of Timisoara: Mathematics and Computer Science, 2016
The main object of this paper is to study Fekete-Szegö problem for a certain subclass of p - valent analytic functions. Fekete-Szegö inequality of several classes are obtained as special cases from our results.
Selvaraj C., Karthikeyan K. R., Lakshmi S.   +2 more
doaj   +1 more source

Toward a human‐centric co‐design methodology for AI detection of differences between planned and delivered dose in radiotherapy

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Introduction Many artificial intelligence (AI) solutions have been proposed to enhance the radiotherapy (RT) workflow, but limited applications have been implemented to date, suggesting an implementation gap. One contributing factor to this gap is a misalignment between AI systems and their users.
Luca M. Heising, Frank Verhaegen, Stefan G. Scheib, Maria J. G. Jacobs, Carol X. J. Ou, Viola Mottarella, Yin‐Ho Chong, Mariangela Zamburlini, Sebastiaan M. J. J. G. Nijsten, Ans Swinnen, Michel Öllers, Cecile J. A. Wolfs   +11 more
wiley   +1 more source

Voxel- and Bird’s-Eye-View-Based Semantic Scene Completion for LiDAR Point Clouds

Remote Sensing
Semantic scene completion is a crucial outdoor scene understanding task that has direct implications for technologies like autonomous driving and robotics.
Li Liang, Naveed Akhtar, Jordan Vice, Ajmal Mian   +3 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

Deep Neural Network for Slip Detection on Ice Surface

Sensors, 2020
Slip-induced falls are among the most common causes of major occupational injuries and economic loss in Canada. Identifying the risk factors associated with slip events is key to developing preventive solutions to reduce falls.
Kent Wu, Suzy He, Geoff Fernie, Atena Roshan Fekr   +3 more
doaj   +1 more source

Design and validation of a novel dosimetry phantom for motion management audits

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Background We present a novel phantom design for conducting end‐to‐end dosimetry audits for respiratory motion management of two anatomical treatment sites. The design enables radiochromic film measurements of the dose administered to the target throughout the respiratory cycle (motion‐included) and the dose delivered to the time‐averaged ...
Alex Burton, Sabeena Beveridge, Nicholas Hardcastle, Silvio Malfitana, Janaka Madamperuma, Rick Franich   +5 more
wiley   +1 more source

Novel CT radiomics models for the postoperative prediction of early recurrence of resectable pancreatic adenocarcinoma: A single‐center retrospective study in China

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose To assess the predictive capability of CT radiomics features for early recurrence (ER) of pancreatic ductal adenocarcinoma (PDAC). Methods Postoperative PDAC patients were retrospectively selected, all of whom had undergone preoperative CT imaging and surgery. Both patients with resectable or borderline‐resectable pancreatic cancer met
Xinze Du, Yongsu Ma, Kexin Wang, Xiejian Zhong, Jianxin Wang, Xiaodong Tian, Xiaoying Wang, Yinmo Yang   +7 more
wiley   +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

The role of the cantilever in Kelvin probe force microscopy measurements

Beilstein Journal of Nanotechnology, 2011
The role of the cantilever in quantitative Kelvin probe force microscopy (KPFM) is rigorously analyzed. We use the boundary element method to calculate the point spread function of the measuring probe: Tip and cantilever.
George Elias, Thilo Glatzel, Ernst Meyer, Alex Schwarzman, Amir Boag, Yossi Rosenwaks   +5 more
doaj   +1 more source

Two Convolution Transforms which are Inverted by Convolutions [PDF]

Proceedings of the American Mathematical Society, 1963
Abstract : Mathematical research concerning the inversion of a convolution transform in which the kernel is a Legendre polynomial is presented. Classes of integral equations of the sort studied here arise in the determination of solutions of certain velocity-potential problems in aerodynamics. (Author)
openaire   +2 more sources