Prospects of structural similarity index for medical image analysis

V Mudeng, M Kim, S Choe - Applied Sciences, 2022 - mdpi.com
An image quality matrix provides a significant principle for objectively observing an image
based on an alteration between the original and distorted images. During the past two …

Learning-to-augment strategy using noisy and denoised data: Improving generalizability of deep CNN for the detection of COVID-19 in X-ray images

M Momeny, AA Neshat, MA Hussain, S Kia… - Computers in Biology …, 2021 - Elsevier
Chest X-ray images are used in deep convolutional neural networks for the detection of
COVID-19, the greatest human challenge of the 21st century. Robustness to noise and …

Performance investigation for medical image evaluation and diagnosis using machine-learning and deep-learning techniques

BM Rashed, N Popescu - Computation, 2023 - mdpi.com
Today, medical image-based diagnosis has advanced significantly in the world. The number
of studies being conducted in this field is enormous, and they are producing findings with a …

Dual autoencoder network with separable convolutional layers for denoising and deblurring images

E Solovyeva, A Abdullah - Journal of Imaging, 2022 - mdpi.com
A dual autoencoder employing separable convolutional layers for image denoising and
deblurring is represented. Combining two autoencoders is presented to gain higher …

Improved Chest X-Ray Image Quality Using Median and Gaussian Filter Methods

LI Kesuma, E Ermatita, E Erwin, P Sari… - 2022 International …, 2022 - ieeexplore.ieee.org
The lungs are one of the organs of the body that are responsible for the human respiratory
process and are very susceptible to dangerous diseases. For this reason, early detection …

Comparison of Noise Removal Methods for Noisy Lenke Type 1 Idiopathic Scoliosis Images

JH Lubis, H Ali, MI Yusof… - 2024 IEEE 13th …, 2024 - ieeexplore.ieee.org
Improving the quality of medical images is essential for accurate clinical diagnosis.
However, medical images are often plagued by various types of noise, posing challenges to …