Coronary Artery Segmentation Based on Transfer Learning and UNet Architecture on Computed Tomography Coronary Angiography Images

Coronary Artery Segmentation Based on Transfer Learning and UNet Architecture on Computed Tomography Coronary Angiography Images

Coronary artery segmentation from CT scans is a helpful tool for coronary artery diseases diagnosis, which is frequently characterised by a vessel narrowing (stenosis). This is a highly demanded and high time-consuming process, thus automated procedures are becoming increasingly necessary. In this w...

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Bibliographic Details
Main Authors: Belen Serrano-Anton, Alberto Otero-Cacho, Diego Lopez-Otero, Brais Diaz-Fernandez, Maria Bastos-Fernandez, Vicente Perez-Munuzuri, Jose Ramon Gonzalez-Juanatey, Alberto P. Munuzuri
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Artery
convolutional neural network
coronary
CT
segmentation
UNet
Online Access:https://ieeexplore.ieee.org/document/10175517/

Internet

https://ieeexplore.ieee.org/document/10175517/

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