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Artificial Intelligence and Statistics [PDF]
Frontiers of Information Technology & Electronic Engineering, 2017 Artificial intelligence (AI) is intrinsically data-driven. It calls for the application of statistical concepts through human-machine collaboration during generation of data, development of algorithms, and evaluation of results.
Kumbier, Karl, Yu, Bin
core +3 more sources
Semi‐supervised classification of fundus images combined with CNN and GCN
Journal of Applied Clinical Medical Physics, Volume 23, Issue 12, December 2022., 2022 Abstract Purpose Diabetic retinopathy (DR) is one of the most serious complications of diabetes, which is a kind of fundus lesion with specific changes. Early diagnosis of DR can effectively reduce the visual damage caused by DR. Due to the variety and different morphology of DR lesions, automatic classification of fundus images in mass screening can ...
Sixu Duan +8 more
wiley +1 more source
Journal of Applied Clinical Medical Physics, Volume 23, Issue 12, December 2022., 2022 Abstract Purpose A set of treatment planning strategies were designed and retrospectively implemented for locally advanced, non‐small cell lung cancer (NSCLC) patients in order to minimize cardiac dose without compromising target coverage goals. Methods Retrospective analysis was performed for 20 NSCLC patients prescribed to 60–66 Gy that received a ...
Joshua P. Kim +5 more
wiley +1 more source
Journal of Applied Clinical Medical Physics, Volume 23, Issue 12, December 2022., 2022 Abstract Positron emission tomography with x‐ray computed tomography (PET/CT) is increasingly being utilized for radiation treatment planning (RTP). Accurate delivery of RT therefore depends on quality PET/CT data. This study covers quality control (QC) procedures required for PET/CT for diagnostic imaging and incremental QC required for RTP.
Ran Klein +7 more
wiley +1 more source
Artificial Intelligence for Health [PDF]
Computers, 2021 Health is one of the major research topics that has been attracting cross-disciplinary research groups [...]
Antonio Celesti +3 more
openaire +4 more sources
International Journal of Scientific Research and Management (IJSRM), 2023 Artificial Intelligence is the way one can solve problems occurring in everyday life. A lot of mathematical solutions are presented as to how one learns and the way one should learn to give rise to some kind of intelligence. Deep learning is an example of this [1]. Problems occur everywhere from mathematics to computer science.
openaire +2 more sources
Can artificial intelligence help for scientific writing?
Critical Care, 2023 This paper discusses the use of Artificial Intelligence Chatbot in scientific writing. ChatGPT is a type of chatbot, developed by OpenAI, that uses the Generative Pre-trained Transformer (GPT) language model to understand and respond to natural language ...
Michele Salvagno, F. Taccone, A. Gerli
semanticscholar +1 more source
Feedback Control for Passivity of Memristor-Based Multiple Weighted Coupled Neural Networks
Discrete Dynamics in Nature and Society, 2022 This paper investigates the passivity of multiple weighted coupled memristive neural networks (MWCMNNs) based on the feedback control. Firstly, a kind of memristor-based coupled neural network model with multiple weights is presented for the first time ...
Xiang-Bo Wang +4 more
doaj +1 more source
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023 This research introduces a novel, highly precise, and learning-free approach to locomotion mode prediction, a technique with potential for broad applications in the field of lower-limb wearable robotics.
Shunyi Zhao +6 more
doaj +1 more source