Assessing Machine Learning Models for Predicting Age with Intracranial Vessel Tortuosity and Thickness Information.

Yoon, Hoon-Seok; Oh, Jeongmin; Kim, Yoon-Chul

Yoon, Hoon-Seok; Oh, Jeongmin; Kim, Yoon-Chul.

Afiliación

Yoon HS; Division of Digital Healthcare, College of Software and Digital Healthcare Convergence, Yonsei University, Wonju 26493, Republic of Korea.
Oh J; Division of Digital Healthcare, College of Software and Digital Healthcare Convergence, Yonsei University, Wonju 26493, Republic of Korea.
Kim YC; Division of Digital Healthcare, College of Software and Digital Healthcare Convergence, Yonsei University, Wonju 26493, Republic of Korea.

Brain Sci ; 13(11)2023 Oct 26.

Article en En | MEDLINE | ID: mdl-38002472

Palabras clave

age prediction; feature extraction; intracranial artery; machine learning; magnetic resonance angiography; medical image analysis

Texto completo

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Brain Sci Año: 2023 Tipo del documento: Article

Texto completo

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Brain Sci Año: 2023 Tipo del documento: Article