Full-resolution network and dual-threshold iteration for retinal vessel and coronary angiograph segmentation
Vessel segmentation is critical for disease diagnosis and surgical planning. Recently, the
vessel segmentation method based on deep learning has achieved outstanding …
vessel segmentation method based on deep learning has achieved outstanding …
Deep learning for 3D vascular segmentation in hierarchical phase contrast tomography: a case study on kidney
Automated blood vessel segmentation is critical for biomedical image analysis, as vessel
morphology changes are associated with numerous pathologies. Still, precise segmentation …
morphology changes are associated with numerous pathologies. Still, precise segmentation …
Current state and future perspectives of artificial intelligence for automated coronary angiography imaging analysis in patients with ischemic heart disease
MA Molenaar, JL Selder, J Nicolas, BE Claessen… - Current cardiology …, 2022 - Springer
Abstract Purpose of Review Artificial intelligence (AI) applications in (interventional)
cardiology continue to emerge. This review summarizes the current state and future …
cardiology continue to emerge. This review summarizes the current state and future …
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 …
Progressive perception learning for main coronary segmentation in X-ray angiography
Main coronary segmentation from the X-ray angiography images is important for the
computer-aided diagnosis and treatment of coronary disease. However, it confronts the …
computer-aided diagnosis and treatment of coronary disease. However, it confronts the …
AngioNet: A convolutional neural network for vessel segmentation in X-ray angiography
Abstract Coronary Artery Disease (CAD) is commonly diagnosed using X-ray angiography,
in which images are taken as radio-opaque dye is flushed through the coronary vessels to …
in which images are taken as radio-opaque dye is flushed through the coronary vessels to …
Prediction of arabica coffee production using artificial neural network and multiple linear regression techniques
Y Kittichotsatsawat, N Tippayawong… - Scientific Reports, 2022 - nature.com
Crop yield and its prediction are crucial in agricultural production planning. This study
investigates and predicts arabica coffee yield in order to match the market demand, using …
investigates and predicts arabica coffee yield in order to match the market demand, using …
The application of deep learning for the segmentation and classification of coronary arteries
In recent years, the prevalence of coronary artery disease (CAD) has become one of the
leading causes of death around the world. Accurate stenosis detection of coronary arteries is …
leading causes of death around the world. Accurate stenosis detection of coronary arteries is …
Vessel segmentation for X-ray coronary angiography using ensemble methods with deep learning and filter-based features
Background Automated segmentation of coronary arteries is a crucial step for computer-
aided coronary artery disease (CAD) diagnosis and treatment planning. Correct delineation …
aided coronary artery disease (CAD) diagnosis and treatment planning. Correct delineation …
[HTML][HTML] Residual-attention unet++: a nested residual-attention u-net for medical image segmentation
Z Li, H Zhang, Z Li, Z Ren - Applied Sciences, 2022 - mdpi.com
Image segmentation is a basic technology in the field of image processing and computer
vision. Medical image segmentation is an important application field of image segmentation …
vision. Medical image segmentation is an important application field of image segmentation …