Cargando…
Deep learning-based prediction for significant coronary artery stenosis on coronary computed tomography angiography in asymptomatic populations
BACKGROUND: Although coronary computed tomography angiography (CCTA) is currently utilized as the frontline test to accurately diagnose coronary artery disease (CAD) in clinical practice, there are still debates regarding its use as a screening tool for the asymptomatic population. Using deep learni...
Autores principales: | Lee, Heesun, Kang, Bong Gyun, Jo, Jeonghee, Park, Hyo Eun, Yoon, Sungroh, Choi, Su-Yeon, Kim, Min Joo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10320158/ https://www.ncbi.nlm.nih.gov/pubmed/37416918 http://dx.doi.org/10.3389/fcvm.2023.1167468 |
Ejemplares similares
-
Deep learning-based detection of functionally significant stenosis in coronary CT angiography
por: Hampe, Nils, et al.
Publicado: (2022) -
Computational Fractional Flow Reserve From Coronary Computed Tomography Angiography—Optical Coherence Tomography Fusion Images in Assessing Functionally Significant Coronary Stenosis
por: Lee, Yong-Joon, et al.
Publicado: (2022) -
Deep learning-based end-to-end automated stenosis classification and localization on catheter coronary angiography
por: Cong, Chao, et al.
Publicado: (2023) -
Coronary Computed Tomography Angiography for the Diagnosis of Vasospastic Angina: Comparison with Invasive Coronary Angiography and Ergonovine Provocation Test
por: Park, Jiesuck, et al.
Publicado: (2019) -
Dose Coronary Angiography Suffice for Assessment of Intermediate Coronary Stenosis?
por: Ahn, Sung Gyun, et al.
Publicado: (2019)