Image denoising faces significant challenges, arising from the sources of noise. Specifically,
Gaussian, impulse, salt, pepper, and speckle noise are complicated sources of noise in …

Artificial intelligence (AI) is being increasingly adopted in medical research and applications.
Medical AI devices have continuously been approved by the Food and Drug Administration …

Image enhancement methods are applied to medical images to reduce the noise that they
contain. There are many academic studies in the literature using classical image …

Introduction to BiomedicalImaging A state-of-the-art exploration of the foundations and latest
developments in biomedical imaging technology In the newly revised second edition of …

Abstract Background and Objective: The primary causes of kidney failure are chronic and
polycystic kidney diseases. Cyst, stone, and tumor development lead to chronic kidney …

Speckle noise is a major problem in medical ultrasound imaging that reduces the image
quality and leads to a negative impact on further diagnosis. In this paper, aiming to alleviate …

Noise corrupts ultrasound images and degrades spatial and contrast resolutions. Hence, it is
challenging to characterize the lesions precisely using ultrasound images. The present …

Medical image denoising has numerous real-world applications. Despite their widespread
use, existing medical image denoising methods fail to address complex noise patterns and …

Wavelet transform (WT) is a commonly used method for noise suppression and feature
extraction from biomedical images. The selection of WT system settings significantly affects …

Various retinal illnesses can be diagnosed and treated using the non-invasive diagnostic
technology called OCT (Optical Coherence Tomography). However, the processes used to …