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 …

Ultrasonography is non-invasive and painless. In Ultrasonography the images are often
affected with Speckle noise. It is a multiplicative noise. To help the doctors to identify the …

Medical imaging applications in hospitals and laboratories have shown benefits in
visualizing patient's body for diagnosis and treatment of disease. Ultrasound (US) is …

Granger causality-based effective brain connectivity provides a powerful tool to probe the
neural mechanism for information processing and the potential features for brain computer …

Scoliosis is a 3D spinal deformation where the spine takes a lateral curvature, forming an
angle in the coronal plane. Diagnosis of scoliosis requires periodic detection, and frequent …

Since magnetic resonance imaging (MRI) has superior soft tissue contrast, contouring
(brain) tumor accurately by MRI images is essential in medical image processing …

Diagnosing liver steatosis is an essential precaution for detecting hepatocirrhosis and liver
cancer in the early stages. However, automatic diagnosis of liver steatosis from ultrasound …

This paper proposes a novel approach for elimination of noises from MRI images using
hybrid adaptive algorithm based on DWT and ICA. MRI images are usually corrupted by …

In the modern-days diagnostics, ultrasound is considered a significant non-invasive imaging
technique. However, ultrasound images are frequently contaminated by multiplicative …

For researchers, denoising of Magnetic Resonance (MR) image is a greatest challenge in
digital image processing. In this paper, the impulse noise and Rician noise in the medical …