Volume 20 No 6 (2022)
 Download PDF
RFO-MNN: MODULAR NEURAL NETWORK OPTIMIZED WITH RED FOX OPTIMIZATION FOR SPECKLE NOISE SUPPRESSION IN ULTRASOUNDIMAGES
G. Karthiga and S. Allwin
Abstract
Diagnostic and therapeutic procedures such as intraarticular injections and biopsy can be guided using ultrasound imaging in the treatment of joint arthropathies. This paper has concentrated on ultrasound images more explicitly, on the concealment techniques for the multiplicative noise. This work has contrasted with various denoising techniques used to suppress the SN in medicinal images acquired through ultrasound images
Keywords
Ultrasound images, speckle noise, Modular neural network (MNN), Red fox optimization (RFO) algorithm, Bilateral filter (BF)
Copyright
Copyright © Neuroquantology

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Articles published in the Neuroquantology are available under Creative Commons Attribution Non-Commercial No Derivatives Licence (CC BY-NC-ND 4.0). Authors retain copyright in their work and grant IJECSE right of first publication under CC BY-NC-ND 4.0. Users have the right to read, download, copy, distribute, print, search, or link to the full texts of articles in this journal, and to use them for any other lawful purpose.