A review of deep learning segmentation methods for carotid artery ultrasound images

Q Huang, H Tian, L Jia, Z Li, Z Zhou - Neurocomputing, 2023 - Elsevier
The carotid artery is a critical blood vessel that supplies blood to the brain, and its health and
function are essential for preventing cardiovascular diseases such as stroke. Ultrasound …

NAG-Net: Nested attention-guided learning for segmentation of carotid lumen-intima interface and media-adventitia interface

Q Huang, L Zhao, G Ren, X Wang, C Liu… - Computers in Biology and …, 2023 - Elsevier
Cardiovascular diseases (CVD), as the leading cause of death in the world, poses a serious
threat to human health. The segmentation of carotid Lumen-intima interface (LII) and Media …

Nature inspired optimization algorithms for medical image segmentation: a comprehensive review

EH Houssein, GM Mohamed, Y Djenouri, YM Wazery… - Cluster …, 2024 - Springer
Image segmentation is the process of splitting a digital image into distinct segments or
categories based on shared characteristics like texture, color, and intensity. Its primary aim is …

Efficient solution of Otsu multilevel image thresholding: A comparative study

MH Merzban, M Elbayoumi - Expert Systems with Applications, 2019 - Elsevier
Multi-level thresholding of a gray image is one of the basic operations in computer vision,
with applications in image enhancement and segmentation. Various criteria for the selection …

A novel M-SegNet with global attention CNN architecture for automatic segmentation of brain MRI

N Yamanakkanavar, B Lee - Computers in Biology and Medicine, 2021 - Elsevier
In this paper, we propose a novel M-SegNet architecture with global attention for the
segmentation of brain magnetic resonance imaging (MRI). The proposed architecture …

Convolutional neural network for segmentation and measurement of intima media thickness

J KB, N Madian - Journal of medical systems, 2018 - Springer
Abstract The measurement of Carotid Intima Media Thickness (IMT) on Common Carotid
Artery (CCA) is a principle marker of risk of cardiovascular disease. This paper presents a …

SM-SegNet: A lightweight squeeze M-SegNet for tissue segmentation in brain MRI scans

N Yamanakkanavar, JY Choi, B Lee - Sensors, 2022 - mdpi.com
In this paper, we propose a novel squeeze M-SegNet (SM-SegNet) architecture featuring a
fire module to perform accurate as well as fast segmentation of the brain on magnetic …

A Systematic Review of Wind Driven Optimization Algorithms and Their Variants

LL Mao, AM Zain, KQ Zhou, F Qin, FL Wang - IEEE Access, 2024 - ieeexplore.ieee.org
Wind Driven Optimization (WDO) Algorithm is a novel metaheuristic algorithm inspired by
the continuous flow of air resulting from differences in air pressure until the air reaches a …

Multi-scale squeeze U-SegNet with multi global attention for brain MRI segmentation

C Dayananda, JY Choi, B Lee - Sensors, 2021 - mdpi.com
In this paper, we propose a multi-scale feature extraction with novel attention-based
convolutional learning using the U-SegNet architecture to achieve segmentation of brain …

Segmenting the carotid-artery wall in ultrasound image sequences with a dual-resolution U-net

N Lainé, G Zahnd, H Liebgott… - 2022 IEEE international …, 2022 - ieeexplore.ieee.org
Thickening of intima-media complex in the common carotid artery is a biomarker of
atherosclerosis. To automatically measure this thickness, we propose a region-based …