Precision Denoising in Medical Imaging via Generative Adversarial Network-Aided Low-Noise Discriminator Technique

Publikation: Beiträge in ZeitschriftenZeitschriftenaufsätzeForschungbegutachtet

Authors

Medical imaging is significant for accurate diagnosis, and here, noise often degrades image quality, thus making it challenging to identify important information. Denoising is a component of traditional image pre-processing that helps prevent incorrect disease diagnosis. Mitigating the noise becomes difficult if there are differences in the low-level segment features. Therefore, a Generative Adversarial Network (GAN)-aided Low-Noise Discriminator (LND) is introduced to improve the denoising effectiveness in medical images with a balanced image resolution with noise mitigation. The LND function is a key that distinguishes between high- and low-noise areas based on segmented features, which are also achieved by tuning the peak signal-to-noise ratio (PSNR). Considering the training sequences, the LND-identified intervals lessen the sequences to improve the changes in pixel reconstruction. The generator function in this method is responsible for increasing the PSNR improvements over the different pixels cumulatively. The proposed method successfully improves the pixel reconstruction by 11.05% and PSNR by 9.75%, with 9.75% less reconstruction time and 13.11% less extraction error for the higher pixel distribution ratios than other contemporary methods.

OriginalspracheEnglisch
Aufsatznummer3705
ZeitschriftMathematics
Jahrgang12
Ausgabenummer23
Anzahl der Seiten21
DOIs
PublikationsstatusErschienen - 12.2024

Bibliographische Notiz

Publisher Copyright:
© 2024 by the authors.

DOI

Zuletzt angesehen

Publikationen

  1. "Wen feiern wir denn eigentlich?"
  2. Proposing a social-ecological framework for successful grassland restoration in Germany—an overview and insights from the Grassworks project
  3. Acting in the Name of Others
  4. From the Precariat to the Multitude
  5. Can we represent future generations in myopic democracies?
  6. Media Review: Extrapolations - A View from OS4F
  7. Gender Matters in Language and Economic Behaviour
  8. Students’ Beliefs About Trigger Warnings
  9. Restricted nonlinear approximation
  10. Crown size-growth relationships of European beech (Fagus sylvatica L.) are driven by the interplay of disturbance intensity and inter-specific competition
  11. Consumer information problems
  12. Nitrate Pollution of Groundwater Long Exceeding Trigger Value
  13. Addressing social representations in socio-technical transitions with the case of shale gas
  14. Narcissists and their influence on firm performance and reporting practices – a systematic literature review and future research agenda
  15. Robust Current Decoupling in a Permanent Magnet Motor Combining a Geometric Method and SMC
  16. Intra-good trade in Germany
  17. Comparing eye movements during mathematical word problem solving in Chinese and German
  18. Media of Trust
  19. Internationale Berichtssysteme
  20. Einführung in Grundlagen der theoretischen Informatik
  21. Effects of oral corrective feedback on the development of complex morphosyntax
  22. Geochemical Assessment of Sediment Quality Using Multivariate Statistical Analysis of Ennore Creek, North of Chennai, SE Coast of India.
  23. Der Hacker
  24. Dis/Ability and Digital Cultures. A Media-Archaeological Perspective on Inclusion as a Cipher
  25. Sustainable Statehood: Reflections on Critical (Pre-)Conditions, Requirements and Design Options
  26. Stabilizing the grid with regional virtual power plants
  27. The value of sub-national data