Results 21 to 30 of about 1,628 (189)
Hybrid Radiomics and Machine Learning for Brain Tumors Multi-Task Classification: An Exploratory Study on Integrating GLCM and Curvelet-Based Features for Enhanced Accuracy. [PDF]
Health Sci RepABSTRACT Background and Aims Accurate classification of brain tumors is vital for effective treatment planning. Manual assessment of magnetic resonance imaging (MRI) scans is often subjective and time‐consuming. This exploratory study proposes a machine learning approach integrating radiomic features from contrast‐enhanced T1‐weighted MRI scans to ...
Jafari M +6 more
europepmc +2 more sources
Color Ultrasound Image Watermarking Scheme Using FRT and Hessenberg Decomposition for Telemedicine Applications [PDF]
Journal of Universal Computer Science, 2022 Watermarking is a valuable technique for verifying medical images obtained through the internet for diagnosis. There is a greater need for security in medical pictures with ever- increasing security risks.
Lalan Kumar, Kamred Udham Singh
doaj +3 more sources
IET Radar, Sonar &Navigation, Volume 17, Issue 12, Page 1743-1759, December 2023., 2023 An overview of the past and current clutter theoretical models and clutter suppression techniques in the HFSWR system is provided. The experimental results involved in the complex long‐term ionosphere observation are discussed. Special attention is paid to the correlation between the signal degradation sources and eliminating clutter techniques ...
Xiaowei Ji +3 more
wiley +1 more source
Priors in Bayesian Deep Learning: A Review
International Statistical Review, Volume 90, Issue 3, Page 563-591, December 2022., 2022 Summary While the choice of prior is one of the most critical parts of the Bayesian inference workflow, recent Bayesian deep learning models have often fallen back on vague priors, such as standard Gaussians. In this review, we highlight the importance of prior choices for Bayesian deep learning and present an overview of different priors that have ...
Vincent Fortuin
wiley +1 more source
Robust medical zero‐watermarking algorithm based on Residual‐DenseNet
IET Biometrics, Volume 11, Issue 6, Page 547-556, November 2022., 2022 Abstract To solve the problem of poor robustness of existing traditional DCT‐based medical image watermarking algorithms under geometric attacks, a novel deep learning‐based robust zero‐watermarking algorithm for medical images is proposed. A Residual‐DenseNet is designed, which took low‐frequency features after discrete cosine transformation of ...
Cheng Gong +5 more
wiley +1 more source
Statistical quality control using image intelligence: A sparse learning approach
Naval Research Logistics (NRL), Volume 69, Issue 7, Page 996-1008, October 2022., 2022 Abstract Advances in image acquisition technology have made it convenient and economic to collect large amounts of image data. In manufacturing and service industries, images are increasingly used for quality control purposes because of their ability to quickly provide information about product geometry, surface defects, and nonconforming patterns.
Yicheng Kang
wiley +1 more source
A review on short‐term load forecasting models for micro‐grid application
The Journal of Engineering, Volume 2022, Issue 7, Page 665-689, July 2022., 2022 Abstract Load forecasting (LF), particularly short‐term load forecasting (STLF), plays a vital role throughout the operation of the conventional power system. The precise modelling and complex analyses of STLF have become more significant in advanced microgrid (MG) applications.
V. Y. Kondaiah +3 more
wiley +1 more source
Fusion of WorldView2 images using Contourlet, Curvelet and Ridgelet transforms for edge enhancement
Revista Facultad de Ingeniería Universidad de Antioquia, 2017 This article discusses the implementation of three transforms, namely Contourlet, Curvelet and Ridgelet, which are intended for image edge enhancement. These transforms were applied to fused Worldview 2 satellite images.
Giselle Helena Toro-Garay +1 more
doaj +3 more sources
Pixel‐Boundary‐Dependent Segmentation Method for Early Detection of Diabetic Retinopathy
Mathematical Problems in Engineering, Volume 2022, Issue 1, 2022., 2022 Early and precise detection of diabetic retinopathy prevents vision impairments through computer‐aided clinical procedures. Identifying the symptoms and processing those by using sophisticated clinical procedures reduces hemorrhage kind of risks.
S. G. Sandhya +3 more
wiley +1 more source
Design of Quality Improvement Technique Through Ridgelet Transform on Watermarked Video
Iraqi Journal for Computer Science and Mathematics, 2023 with the rapid spread of the use of video files cross the world before and during the pandemic, and the availability of capabilities and tools to create, store and transmit video files of high quality.
Rasha Ismail, Sura Mazin Ali
doaj +1 more source