Automated classification of Alzheimer's disease, mild cognitive impairment, and cognitively normal patients using 3D convolutional neural network and radiomic features from T1-weighted brain MRI: A comparative study on detection accuracy

Alzheimer's disease (AD) is a common neurodegenerative disorder that primarily affects older individuals. Due to its high incidence, an accurate and efficient stratification system could greatly aid in the clinical diagnosis and prognosis of AD patients. Convolutional neural networks (CNN) appr...

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Veröffentlicht in:	Clinical imaging 2024-11, Vol.115, p.110301, Article 110301
Hauptverfasser:	Zarei, Amin, Keshavarz, Ahmad, Jafari, Esmail, Nemati, Reza, Farhadi, Akram, Gholamrezanezhad, Ali, Rostami, Habib, Assadi, Majid
Format:	Artikel
Sprache:	eng
Schlagworte:	Alzheimer's disease Convolutional neural networks Mild cognitive impairment MRI Radiomic
Online-Zugang:	Volltext
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