Results 1 to 10 of about 174 (111)

Meningioma brain tumor detection and classification using hybrid CNN method and RIDGELET transform [PDF]

Scientific Reports, 2023
The detection of meningioma tumors is the most crucial task compared with other tumors because of their lower pixel intensity. Modern medical platforms require a fully automated system for meningioma detection.
B. V. Prakash, A. Rajiv Kannan, N. Santhiyakumari, S. Kumarganesh, D. Siva Sundhara Raja, J. Jasmine Hephzipah, K. MartinSagayam, Marc Pomplun, Hien Dang   +8 more
doaj   +2 more sources

Local-Ternary-Pattern-Based Associated Histogram Equalization Technique for Cervical Cancer Detection [PDF]

Diagnostics, 2023
Every year, cervical cancer is a leading cause of mortality in women all over the world. This cancer can be cured if it is detected early and patients are treated promptly.
Saravanan Srinivasan, Aravind Britto Karuppanan Raju, Sandeep Kumar Mathivanan, Prabhu Jayagopal, Jyothi Chinna Babu, Aditya Kumar Sahu   +5 more
doaj   +2 more sources

Detection of diabetic retinopathy using a fusion of textural and ridgelet features of retinal images and sequential minimal optimization classifier [PDF]

PeerJ Computer Science, 2021
Diabetes is one of the most prevalent diseases in the world, which is a metabolic disorder characterized by high blood sugar. Diabetes complications are leading to Diabetic Retinopathy (DR).
Lakshmana Kumar Ramasamy, Shynu Gopalan Padinjappurathu, Seifedine Kadry, Robertas Damaševičius   +3 more
doaj   +3 more sources

Multivariable passive method for detection of islanding events in renewable energy based power grids

IET Renewable Power Generation, 2022
Penetration of distributed generation resources (DGR) in power grid is rapidly increasing to meet future energy demand efficiently. It helps in mitigating the problems of high carbon emission, green house effect, and increased cost of oil and natural ...
Nagendra Kumar Swarnkar, Om Prakash Mahela, Baseem Khan, Mahendra Lalwani   +3 more
doaj   +2 more sources

Image denoising method integrating ridgelet transform and improved wavelet threshold. [PDF]

PLoS ONE
In the field of image processing, common noise types include Gaussian noise, salt and pepper noise, speckle noise, uniform noise and pulse noise. Different types of noise require different denoising algorithms and techniques to maintain image quality and
Bingbing Li, Yao Cong, Hongwei Mo
doaj   +2 more sources

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 Rep
ABSTRACT 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, Rahmani M, Alibabaie S, Fatahiasl J, Razmjoo S, Birgani MJT, Tahmasbi M.   +6 more
europepmc   +2 more sources

Improving the Method of Short-term Forecasting of Electric Load in Distribution Networks using Wavelet transform combined with Ridgelet Neural Network Optimized by Self-adapted Kho-Kho Optimization Algorithm [PDF]

Heliyon
This paper proposes a new method for short-term electric load forecasting using a Ridgelet Neural Network (RNN) combined with a wavelet transform and optimized by a Self-Adapted (SA) Kho-Kho algorithm (SAKhoKho).
Yaoying Wang, Shudong Sun, Gholamreza Fathi, Mahdiyeh Eslami   +3 more
doaj   +2 more sources

An Interplay of Ridgelet and Linear Canonical Transforms

Mathematics, 2022
The present study is the first of its kind, aiming to explore the interface between the ridgelet and linear canonical transforms. To begin with, we formulate a family of linear canonical ridgelet waveforms by suitably chirping a one-dimensional wavelet ...
Hari M. Srivastava, Azhar Y. Tantary, Firdous A. Shah, Ahmed I. Zayed   +3 more
doaj   +1 more source

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

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