Results 91 to 100 of about 2,420,336 (400)

Enhanced dose prediction for head and neck cancer artificial intelligence‐driven radiotherapy based on transfer learning with limited training data

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Training deep learning dose prediction models for the latest cutting‐edge radiotherapy techniques, such as AI‐based nodal radiotherapy (AINRT) and Daily Adaptive AI‐based nodal radiotherapy (DA‐AINRT), is challenging due to limited data.
Hui‐Ju Wang, Austen Maniscalco, David Sher, Mu‐Han Lin, Steve Jiang, Dan Nguyen   +5 more
wiley   +1 more source

Assessing Intelligence in Artificial Neural Networks [PDF]

arXiv, 2020
The purpose of this work was to develop of metrics to assess network architectures that balance neural network size and task performance. To this end, the concept of neural efficiency is introduced to measure neural layer utilization, and a second metric called artificial intelligence quotient (aIQ) was created to balance neural network performance and
arxiv  

Multilayered feed forward Artificial Neural Network model to predict the average summer-monsoon rainfall in India

, 2006
In the present research, possibility of predicting average summer-monsoon rainfall over India has been analyzed through Artificial Neural Network models.
A.J. Matthews, B. Men, B. Sivakumar, B. Sivakumar, B. Sivakumar, B. Widrow, B.G. Brown, C. Cartalis, C. Varotsos, C. Varotsos, C. Varotsos, C.P. Jacovides, D.S. Wilks, D.S. Wilks, E.H. Chin, J.B. Elsner, J.M. Gregory, K.Y. Kondratyev, K.Y. Kondratyev, L. Ferranti, M. Gevrey, M.J.C. Hu, M.W. Gardner, O.C. Clark, P. Guhathakurta, P. Perez, P. Perez, P.D. Sardeshmukh, P.R.C. Reddy, S. Gadgil, S. Haykin, S. Lee, S.K. Pal, S.M.S. Nagendra, S.V. Kamarthi, S.V. Kartalopoulos, Surajit Chattopadhyay, T. Shinoda, T.J. Sejnowski, T.M. Smith, W.W. Hsieh   +40 more
core   +1 more source

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

An approach based on gamma-ray transmission technique and artificial neural network for accurately measuring the thickness of various materials [PDF]

Nuclear Technology and Radiation Protection
This paper presents an approach based on the gamma-ray transmission technique and artificial neural network for accurately measuring the thickness of various materials in flat sheet form.
Trang Le Thi Ngoc, Linh Nguyen Thi Truc, Thanh Tran Thien, Tam Hoang Duc, Chuong Huynh Dinh   +4 more
doaj   +1 more source

Eigen Artificial Neural Networks

, 2019
{"references": ["Francisco Yepes Barrera. B\u00fasqueda de la estructura \u00f3ptima de redes neurales con algoritmos gen\u00e9ticos y simulated annealing. verificaci\u00f3n con el benchmark proben1. In- teligencia Artificial, Revista Iberoamericana de IA, 11(34):41\u201361, 2007.", "Christopher M. Bishop.
openaire   +4 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

Prediction of the graduation rate of engineering education students using Artificial Neural Network Algorithms

International Journal of Research in Counseling and Education, 2021
The graduation rate of engineering education students on time dramatically affects the quality of learning. The purpose of this study is to predict the graduation rate of engineering education students.
Muhammad Anwar
doaj   +1 more source

Geometric and dosimetric evaluation of a commercial AI auto‐contouring tool on multiple anatomical sites in CT scans

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Current radiotherapy practices rely on manual contouring of CT scans, which is time‐consuming, prone to variability, and requires highly trained experts. There is a need for more efficient and consistent contouring methods. This study evaluated the performance of the Varian Ethos AI auto‐contouring tool to assess its potential integration into
Robert N. Finnegan, Alexandra Quinn, Patrick Horsley, Joseph Chan, Maegan Stewart, Regina Bromley, Jeremy Booth   +6 more
wiley   +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