RETRACTED ARTICLE: Denoising transthoracic echocardiographic images in regional wall motion abnormality using deep learning techniques

AS Beevi, S Ratheesha, S Kalady, JJ Chackola - Soft Computing, 2023 - Springer
Image analysis and classification perform well in pre-processed noise-free images than in
corrupted images. Synthetic aperture radar (SAR) images, Ultrasound (US) medical images …

Advancements in Medical Imaging Based on Image Denoising, Data Augmentation, and Classification with Computational Techniques

V Muthulakshmi, K Ramalakshmi - 2024 5th International …, 2024 - ieeexplore.ieee.org
Nowadays, medical imaging techniques are often not directly suitable for disease
classification due to various noise factors and limited image availability. Innovative …

Medical Image Denoising Using a Novel Multilevel Convolutional Optimized Visual Attention Network in Diverse Dataset

D Swetha, N Jyothi - International Journal of Image and Graphics, 2025 - World Scientific
Image denoising is essential for medical image analysis due to noise introduced by various
acquisition methods and efforts to reduce radiation exposure. Noise in medical imaging from …

Improving assaulted medical image quality using improved adaptive filtering network

ND Pulgam, SK Shinde - International Journal of Intelligent …, 2024 - inderscienceonline.com
Regular static convolutions work well for low-frequency information processing but fall short
for high-frequency information processing. Dynamic convolution is the recent method that …

[PDF][PDF] De-noising MRI Image of High Density Different Noise using Linear and Nonlinear Threshold Filter

M Bhushan, A Agwekar - ijirtm.com
Noise removal in Magnetic Resonance Imaging (MRI) is crucial for ensuring high-quality
images, which are essential for accurate medical diagnoses and the study of anatomical …