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Assessing Machine Learning Models for Predicting Age with Intracranial Vessel Tortuosity and Thickness Information
This study aimed to develop and validate machine learning (ML) models that predict age using intracranial vessels’ tortuosity and diameter features derived from magnetic resonance angiography (MRA) data. A total of 171 subjects’ three-dimensional (3D) time-of-flight MRA image data were considered fo...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10669197/ https://www.ncbi.nlm.nih.gov/pubmed/38002472 http://dx.doi.org/10.3390/brainsci13111512 |