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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| container_end_page | 298 |
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| container_issue | 2 |
| container_start_page | 297 |
| container_title | Catheterization and cardiovascular interventions |
| container_volume | 101 |
| creator | Alasnag, Mirvat |
| description | 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. |
| doi_str_mv | 10.1002/ccd.30594 |
| format | Article |
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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.
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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.</abstract><cop>United States</cop><pub>Wiley Subscription Services, Inc</pub><pmid>36786493</pmid><doi>10.1002/ccd.30594</doi><tpages>2</tpages><orcidid>https://orcid.org/0000-0002-8714-0334</orcidid></addata></record> |
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| ispartof | Catheterization and cardiovascular interventions, 2023-02, Vol.101 (2), p.297-298 |
| issn | 1522-1946 1522-726X |
| language | eng |
| recordid | cdi_proquest_miscellaneous_2776519713 |
| source | Access via Wiley Online Library |
| subjects | Deep Learning intravascular ultrasound optical coherence tomography plaque burden |
| title | Commentary: Plaque burden estimated from optical coherence tomography with Deep Learning: In‐vivo validation using coregistered intravascular ultrasound |
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