Coronary Artery Segmentation Based on Transfer Learning and UNet Architecture on Computed Tomography Coronary Angiography Images-Reference-Cited by-同舟云学术

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

Published:2023 Issue: Volume:11 Page:75484-75496
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Serrano-Antón Belén¹^ORCID,Otero-Cacho Alberto¹^ORCID,López-Otero Diego²,Díaz-Fernández Brais²,Bastos-Fernández María²^ORCID,Pérez-Muñuzuri Vicente³^ORCID,González-Juanatey José Ramón²,Muñuzuri Alberto P.⁴^ORCID

Affiliation:

1. FlowReserve Labs S.L., Santiago de Compostela, Spain

2. Cardiology and Intensive Cardiac Care Department, Hospital Clínico Universitario de Santiago de Compostela, Santiago de Compostela, Spain

3. Group of Nonlinear Physics, University of Santiago de Compostela, Santiago de Compostela, Spain

4. CITMAga, Santiago de Compostela, Spain

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10175517.pdf?arnumber=10175517

Reference41 articles.

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4. Fusing 2D and 3D convolutional neural networks for the segmentation of aorta and coronary arteries from CT images

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