Comprehensive full-vessel segmentation and volumetric plaque quantification for intracoronary optical coherence tomography using deep learning

The developed multiclass semantic segmentation method for intracoronary OCT images demonstrated promising capabilities for various classes, while having included difficult frames, such as those containing artefacts or destabilized plaques. This algorithm is an important step towards comprehensive and standardized OCT image interpretation.

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Publication Details

Journal
European Heart Journal - Digital Health
Published
2025-03-15
DOI
https://doi.org/10.1093/ehjdh/ztaf021
Citations
6
Primary Topic
Coronary Interventions and Diagnostics
Type
article
Field-Weighted Citation Impact
12.04

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OCT
article

Comprehensive full-vessel segmentation and volumetric plaque quantification for intracoronary optical coherence tomography using deep learning

Pierandrea Cancian, Jan‐Quinten Mol, Jos Thannhauser, Mathias Prokop et al.
6 citations
European Heart Journal - Digital Health
Coronary Interventions and Diagnostics
12.04
article

Comprehensive full-vessel segmentation and volumetric plaque quantification for intracoronary optical coherence tomography using deep learning

Pierandrea Cancian, Jan‐Quinten Mol, Jos Thannhauser, Mathias Prokop, Bram van Ginneken, Joske van der Zande, Rick H. J. A. Volleberg, Niels van Royen, Silvan C. Quax, Simone Saitta, Tomasz Roleder, Ivana Išgum, Clara I. Sánchez, Xiaojin Gu, Kensuke Nishimiya, Ruben G.A. van der Waerden, Thijs J. Luttikholt
article en
6 citations

Abstract

The developed multiclass semantic segmentation method for intracoronary OCT images demonstrated promising capabilities for various classes, while having included difficult frames, such as those containing artefacts or destabilized plaques. This algorithm is an important step towards comprehensive and standardized OCT image interpretation.

European Heart Journal - Digital HealthVol. 6(3)
Wrocław University of Science and Technology (PL), Radboud University Nijmegen (NL), Tohoku University (JP), University Medical Center (US), Radboud University Medical Center (NL), University Hospital and Clinics (US), Amsterdam University Medical Centers (NL), Analysis Group (United States) (US), University of Amsterdam (NL)
Abbott Laboratories, Health~Holland, Nederlandse Organisatie voor Wetenschappelijk Onderzoek, Ministerie van Economische Zaken en Klimaat, Abbott Vascular
Openalex Percentile: Top 1%
Coronary Interventions and Diagnostics
12.04
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