[PDF][PDF] Multi-classification of Alzheimer disease on magnetic resonance images (MRI) using deep convolutional neural network (DCNN) approaches
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 …
continuous decline in mental ability. The developmental stages of this neuropsychiatric …
A comparative analysis of image denoising problem: noise models, denoising filters and applications
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 …
and has a wide range of applications in automation, IoT (Internet of Things), medicine, etc …
Computer techniques for medical image classification: a review
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 …
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
Noise corrupts ultrasound images and degrades spatial and contrast resolutions. Hence, it is
challenging to characterize the lesions precisely using ultrasound images. The present …
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 …
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 …
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
In recent years, there has been an unprecedented upsurge in applying deep learning
approaches, specifically convolutional neural networks (CNNs), to solve image denoising …
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
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 …
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 …
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
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 …
salt‐and‐pepper (SAP) noise from corrupted images is presented. We employ an efficient …