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 …
threat to human health. The segmentation of carotid Lumen-intima interface (LII) and Media …
Robust segmentation of intima–media borders with different morphologies and dynamics during the cardiac cycle
Segmentation of carotid intima-media (IM) borders from ultrasound sequences is
challenging because of unknown image noise and varying IM border morphologies and/or …
challenging because of unknown image noise and varying IM border morphologies and/or …
[HTML][HTML] Dynamic programming based segmentation in biomedical imaging
K Ungru, X Jiang - Computational and Structural Biotechnology Journal, 2017 - Elsevier
Many applications in biomedical imaging have a demand on automatic detection of lines,
contours, or boundaries of bones, organs, vessels, and cells. Aim is to support expert …
contours, or boundaries of bones, organs, vessels, and cells. Aim is to support expert …
A review on preprocessing and segmentation techniques in carotid artery ultrasound images
KV Archana, R Vanithamani - Evolutionary Computing and Mobile …, 2022 - Springer
Epidemiological studies reveal that anatomical changes of carotid artery due to deposition of
fatty lesions are effective signs of cardiovascular diseases. Ultrasound imaging modality …
fatty lesions are effective signs of cardiovascular diseases. Ultrasound imaging modality …
Ultrasound intima‐media thickness measurement of the carotid artery using ant colony optimization combined with a curvelet‐based orientation‐selective filter
H Li, S Zhang, R Ma, H Chen, S Xi, J Zhang… - Medical …, 2016 - Wiley Online Library
Purpose: Automatic measurement of the intima‐media thickness (IMT) from ultrasound
carotid images is an important task in clinical diagnosis. Many computer‐based techniques …
carotid images is an important task in clinical diagnosis. Many computer‐based techniques …
Fully automated carotid plaque segmentation in combined contrast-enhanced and B-mode ultrasound
Z Akkus, DDB Carvalho, SCH van den Oord… - Ultrasound in medicine …, 2015 - Elsevier
Carotid plaque segmentation in B-mode ultrasound (BMUS) and contrast-enhanced
ultrasound (CEUS) is crucial to the assessment of plaque morphology and composition …
ultrasound (CEUS) is crucial to the assessment of plaque morphology and composition …
A graph-based approach to automated EUS image layer segmentation and abnormal region detection
Endoscopic ultrasonography (EUS) has shown great advantages in the diagnosis and
staging of gastrointestinal malignant tumors. However, EUS based diagnosis is limited by …
staging of gastrointestinal malignant tumors. However, EUS based diagnosis is limited by …
Automatical intima-media border segmentation on ultrasound image sequences using a Kalman filter snake
Segmentation of carotid intima-media (IM) borders from ultrasound images is of great
importance for predicting cardiovascular risks. In this paper, we have developed a fully …
importance for predicting cardiovascular risks. In this paper, we have developed a fully …
A robust anisotropic edge detection method for carotid ultrasound image processing
J Rouco, C Carvalho, A Domingues, E Azevedo… - Procedia Computer …, 2018 - Elsevier
A new approach for robust edge detection on B-mode ultrasound images of the carotid
artery is proposed in this paper. The proposed method uses anisotropic Gaussian derivative …
artery is proposed in this paper. The proposed method uses anisotropic Gaussian derivative …
A dynamic texture based segmentation method for ultrasound images with Surfacelet, HMT and parallel computing
B Cai, W Ye, J Zhao - Multimedia Tools and Applications, 2019 - Springer
To segment regions of interest (ROIs) from ultrasound images, one novel dynamic texture
based algorithm is presented with surfacelet transform, hidden Markov tree (HMT) model …
based algorithm is presented with surfacelet transform, hidden Markov tree (HMT) model …