Sep 9, 2024 · We designed a deep learning model capable of analyzing an entire coronary angiography (CAG) image for the separation and tracking of vessels.
Sep 10, 2024 · Automatic coronary artery segmentation algorithm based on deep learning and digital image processing
Jul 5, 2023 · This study proposes the use of automatic segmentation of coronary arteries using U-Net, ResUNet-a, UNet++, models and classification using DenseNet201, ...
Jan 19, 2022 · A novel ensemble framework for coronary artery segmentation in XCA images is proposed, which utilizes deep learning and filter-based features to construct ...
Mar 31, 2023 · This study intends to develop a CNN-based CAD detection model. The researchers apply an image enhancement technique to improve the CT image quality.
This paper proposes a novel global feature embedded network for better coronary arteries segmentation in 3D coronary computed tomography angiography (CTA) data.
Jun 4, 2024 · Multi-constraints based deep learning model for automated segmentation and diagnosis of coronary artery disease in x-ray angiographic images.
Nov 15, 2019 · In the present study, we proposed a robust method for major vessel segmentation using deep learning models with fully convolutional networks.
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Building on this deep learning approach to construct a deep learning based tool able to detect stenosis and vascular plaque is a vision of the Computer ...
Coronary artery segmentation is an essential procedure in the computer-aided diagnosis of coronary artery disease. It aims to identify and segment the ...