Comparison of deep learning-based image segmentation methods for intravascular ultrasound on retrospective and large image cohort study

OBJECTIVES: The aim of this study was to investigate the generalization performance of deep learning segmentation models on a large cohort intravascular ultrasound (IVUS) image dataset over the lumen and external elastic membrane (EEM), and to assess the consistency and accuracy of automated IVUS qu...

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Detalles Bibliográficos
Autores principales: Dong, Liang, Lu, Wei, Lu, Xuzhou, Leng, Xiaochang, Xiang, Jianping, Li, Changling
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10685628/
https://www.ncbi.nlm.nih.gov/pubmed/38017463
http://dx.doi.org/10.1186/s12938-023-01171-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10685628/
https://www.ncbi.nlm.nih.gov/pubmed/38017463
http://dx.doi.org/10.1186/s12938-023-01171-2

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