Enhanced coronary artery segmentation and stenosis detection: Leveraging novel deep learning techniques

Enhanced coronary artery segmentation and stenosis detection: Leveraging novel deep learning techniques

<p dir="ltr">Coronary artery disease (CAD) is a significant global health concern, emphasizing the need for reliable and automated diagnostic solutions. This study proposes a novel <u>deep learning </u>framework aimed at improving both full artery segmentation and <u&g...

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Bibliographic Details
Main Author: Abu Jaffor Morshedul Abedin (22803884) (author)
Other Authors: Rusab Sarmun (17632269) (author), Adam Mushtak (22048013) (author), Mohamed Sultan Bin Mohamed Ali (22803887) (author), Anwarul Hasan (1332066) (author), Ponnuthurai Nagaratnam Suganthan (11274636) (author), Muhammad E.H. Chowdhury (17151154) (author)
Published: 2025
Subjects:
Biomedical and clinical sciences
Cardiovascular medicine and haematology
Engineering
Biomedical engineering
Health sciences
Health services and systems
Information and computing sciences
Artificial intelligence
Machine learning
Coronary artery disease
Automated segmentation
Stenosis localization
Medical image analysis
Deep learning
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