Segmentation of carotid arterial walls using neural networks

BACKGROUND: Automated, accurate, objective, and quantitative medical image segmentation has remained a challenging goal in computer science since its inception. This study applies the technique of convolutional neural networks (CNNs) to the task of segmenting carotid arteries to aid in the assessmen...

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Detalles Bibliográficos
Autores principales: Samber, Daniel D, Ramachandran, Sarayu, Sahota, Anoop, Naidu, Sonum, Pruzan, Alison, Fayad, Zahi A, Mani, Venkatesh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Baishideng Publishing Group Inc 2020
Materias:
Observational Study
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6928332/
https://www.ncbi.nlm.nih.gov/pubmed/31988700
http://dx.doi.org/10.4329/wjr.v12.i1.1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6928332/
https://www.ncbi.nlm.nih.gov/pubmed/31988700
http://dx.doi.org/10.4329/wjr.v12.i1.1

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