Robust vessel segmentation in fundus images
A Budai, R Bock, A Maier, J Hornegger… - … journal of biomedical …, 2013 - Wiley Online Library
One of the most common modalities to examine the human eye is the eye‐fundus
photograph. The evaluation of fundus photographs is carried out by medical experts during …
photograph. The evaluation of fundus photographs is carried out by medical experts during …
VSSC Net: vessel specific skip chain convolutional network for blood vessel segmentation
PM Samuel, T Veeramalai - Computer methods and programs in …, 2021 - Elsevier
Background and objective Deep learning techniques are instrumental in developing network
models that aid in the early diagnosis of life-threatening diseases. To screen and diagnose …
models that aid in the early diagnosis of life-threatening diseases. To screen and diagnose …
A coronary artery segmentation method based on multiscale analysis and region growing
A Kerkeni, A Benabdallah, A Manzanera… - … Medical Imaging and …, 2016 - Elsevier
Accurate coronary artery segmentation is a fundamental step in various medical imaging
applications such as stenosis detection, 3D reconstruction and cardiac dynamics assessing …
applications such as stenosis detection, 3D reconstruction and cardiac dynamics assessing …
Weakly supervised vessel segmentation in X-ray angiograms by self-paced learning from noisy labels with suggestive annotation
The segmentation of coronary arteries in X-ray angiograms by convolutional neural
networks (CNNs) is promising yet limited by the requirement of precisely annotating all …
networks (CNNs) is promising yet limited by the requirement of precisely annotating all …
Local morphology fitting active contour for automatic vascular segmentation
K Sun, Z Chen, S Jiang - IEEE transactions on biomedical …, 2011 - ieeexplore.ieee.org
In this paper, we propose an active contour model using local morphology fitting for
automatic vascular segmentation on 2-D angiogram. The vessel and background are fitted …
automatic vascular segmentation on 2-D angiogram. The vessel and background are fitted …
Recursive centerline-and direction-aware joint learning network with ensemble strategy for vessel segmentation in x-ray angiography images
Background and objective Automatic vessel segmentation from X-ray angiography images is
an important research topic for the diagnosis and treatment of cardiovascular disease. The …
an important research topic for the diagnosis and treatment of cardiovascular disease. The …
Joint coronary centerline extraction and lumen segmentation from ccta using cnntracker and vascular graph convolutional network
R Gao, Z Hou, J Li, H Han, B Lu… - 2021 IEEE 18th …, 2021 - ieeexplore.ieee.org
Automatic analysis of coronary artery in coronary computed tomography angiography
(CCTA) is important for clinicians to diagnose and evaluate coronary artery disease (CAD) …
(CCTA) is important for clinicians to diagnose and evaluate coronary artery disease (CAD) …
Deep neural network-based semantic segmentation of microvascular decompression images
R Bai, S Jiang, H Sun, Y Yang, G Li - Sensors, 2021 - mdpi.com
Image semantic segmentation has been applied more and more widely in the fields of
satellite remote sensing, medical treatment, intelligent transportation, and virtual reality …
satellite remote sensing, medical treatment, intelligent transportation, and virtual reality …
Vessel segmentation using centerline constrained level set method
Vascular related diseases have become one of the most common diseases with high
mortality, high morbidity and high medical risk in the world. Level set is a kind of active …
mortality, high morbidity and high medical risk in the world. Level set is a kind of active …
A novel end‐to‐end deep learning solution for coronary artery segmentation from CCTA
C Dong, S Xu, Z Li - Medical Physics, 2022 - Wiley Online Library
Purpose Coronary computed tomographic angiography (CCTA) plays a vital role in the
diagnosis of cardiovascular diseases, among which automatic coronary artery segmentation …
diagnosis of cardiovascular diseases, among which automatic coronary artery segmentation …