AngioPy Segmentation: An open-source, user-guided deep learning tool for coronary artery segmentation
AngioPy, an open-source tool, performs rapid and accurate coronary segmentation without the need for manual correction. It has the potential to increase the accuracy and efficiency of QCA.
Authors
- Edward Andò (ORCID: https://orcid.org/0000-0001-5509-5287)
- Ortal Senouf
- Bernard De Bruyne (ORCID: https://orcid.org/0000-0001-6567-168X)
- Emmanuel Abbé (ORCID: https://orcid.org/0000-0002-1831-656X)
- Olivier Müller (ORCID: https://orcid.org/0000-0003-2441-5799)
- Dorina Thanou (ORCID: https://orcid.org/0000-0003-2319-4832)
- Thabo Mahendiran (ORCID: https://orcid.org/0000-0002-0025-8162)
- Yassine Jamaa
- Stéphane Fournier
Institutions
- Onze Lieve Vrouwziekenhuis Hospital (BE)
- Swiss Data Science Center (CH)
- École Polytechnique Fédérale de Lausanne (CH)
- University of Lausanne (CH)
Publication Details
- Journal
- International Journal of Cardiology
- Published
- 2024-09-26
- DOI
- https://doi.org/10.1016/j.ijcard.2024.132598
- Citations
- 8
- Primary Topic
- Coronary Interventions and Diagnostics
- Type
- article
- Field-Weighted Citation Impact
- 4.58
Funders
- National Science Foundation
- Boston Scientific Corporation
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
- Abbott Vascular