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Automated lumen segmentation using multi-frame convolutional neural networks in intravascular ultrasound datasets
AIMS: Assessment of minimum lumen areas in intravascular ultrasound (IVUS) pullbacks is time-consuming and demands adequately trained personnel. In this work, we introduce a novel and fully automated pipeline to segment the lumen boundary in IVUS datasets. METHODS AND RESULTS: First, an automated ga...
Autores principales: | Ziemer, Paulo G P, Bulant, Carlos A, Orlando, José I, Maso Talou, Gonzalo D, Álvarez, Luis A Mansilla, Guedes Bezerra, Cristiano, Lemos, Pedro A, García-García, Héctor M, Blanco, Pablo J |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9707866/ https://www.ncbi.nlm.nih.gov/pubmed/36713961 http://dx.doi.org/10.1093/ehjdh/ztaa014 |
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