[PDF][PDF] Multi-classification of Alzheimer disease on magnetic resonance images (MRI) using deep convolutional neural network (DCNN) approaches

SA Ajagbe, KA Amuda, MA Oladipupo… - … Journal of Advanced …, 2021 - researchgate.net
Alzheimer's disease (AD) is the most popular cause of dementia. Dementia refers to a
continuous decline in mental ability. The developmental stages of this neuropsychiatric …

A comparative analysis of image denoising problem: noise models, denoising filters and applications

S Bharati, TZ Khan, P Podder, NQ Hung - Cognitive Internet of Medical …, 2021 - Springer
Noise reduction is a perplexing undertaking for the researchers in digital image processing
and has a wide range of applications in automation, IoT (Internet of Things), medicine, etc …

Computer techniques for medical image classification: a review

OA Adebisi, SA Ajagbe, JA Ojo… - Intelligent Healthcare …, 2022 - Springer
Medical image reporting and interpretation play a significant role in the diagnosis and
treatment of patients. Its introduction into healthcare systems has improved human health …

Performance evaluation of 67 denoising filters in ultrasound images: A systematic comparison analysis

AA Ardakani, A Mohammadi, F Faeghi… - … Journal of Imaging …, 2023 - Wiley Online Library
Noise corrupts ultrasound images and degrades spatial and contrast resolutions. Hence, it is
challenging to characterize the lesions precisely using ultrasound images. The present …

Adaptive Removal of high-density salt-and-pepper noise (ARSPN) for robust ROI detection used in watermarking of MRI images of the brain

J Ebrahimnejad, A Naghsh - Computers in Biology and Medicine, 2021 - Elsevier
This paper presents a novel window-based method to remove high-density salt-and-pepper
noise for optimal ROI (Region Of Interest) detection of brain MRI (Magnetic Resonance …

Design and experiment of a broken corn kernel detection device based on the yolov4-tiny algorithm

X Li, Y Du, L Yao, J Wu, L Liu - Agriculture, 2021 - mdpi.com
At present, the wide application of the CNN (convolutional neural network) algorithm has
greatly improved the intelligence level of agricultural machinery. Accurate and real-time …

A deep convolutional neural network for salt-and-pepper noise removal using selective convolutional blocks

AA Rafiee, M Farhang - Applied Soft Computing, 2023 - Elsevier
In recent years, there has been an unprecedented upsurge in applying deep learning
approaches, specifically convolutional neural networks (CNNs), to solve image denoising …

[HTML][HTML] A good neighbor is a great blessing: Nearest neighbor filtering method to remove impulse noise

MR Lone, E Khan - Journal of King Saud University-Computer and …, 2022 - Elsevier
Impulse noise is one of the common noise types that affect images. Median filtering
denoising method has been widely used for impulse noise. However, as the noise density …

Enhancing image quality: A nearest neighbor median filter approach for impulse noise reduction

MR Lone, AK Sandhu - Multimedia Tools and Applications, 2024 - Springer
Impulse noise is a challenging problem that degrades the quality of an image. In last few
decades, Median filtering denoising method has been widely used for impulse noise …

NAMF: A Nonlocal Adaptive Mean Filter for Removal of Salt‐and‐Pepper Noise

H Zhang, Y Zhu, H Zheng - Mathematical Problems in …, 2021 - Wiley Online Library
In this paper, a novel algorithm called a Nonlocal Adaptive Mean Filter (NAMF) for removing
salt‐and‐pepper (SAP) noise from corrupted images is presented. We employ an efficient …