Commentary: Plaque burden estimated from optical coherence tomography with Deep Learning: In‐vivo validation using coregistered intravascular ultrasound
Key Points Visibility of the media poses a challenge to accurate evaluation of plaque by conventional optical coherence tomography (OCT). Deep Learning algorithms are reliable for the assessment of plaque burden using OCT. Larger studies are necessary to validate such algorithms.
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Veröffentlicht in: | Catheterization and cardiovascular interventions 2023-02, Vol.101 (2), p.297-298 |
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Format: | Artikel |
Sprache: | eng |
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Online-Zugang: | Volltext |
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Zusammenfassung: | Key Points
Visibility of the media poses a challenge to accurate evaluation of plaque by conventional optical coherence tomography (OCT).
Deep Learning algorithms are reliable for the assessment of plaque burden using OCT.
Larger studies are necessary to validate such algorithms. |
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ISSN: | 1522-1946 1522-726X |
DOI: | 10.1002/ccd.30594 |