An efficient deep learning approach for detecting Alzheimer’s disease using brain images

An efficient deep learning approach for detecting Alzheimer’s disease using brain images

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022.

Bibliographische Detailangaben
Hauptverfasser:	Sani, Mehedi Hasan, Rahman, Mohibur, Achib, Md. Abdullah Al, Hossain, Rakib
Weitere Verfasser:	Alam, Md. Ashraful
Format:	Abschlussarbeit
Sprache:	English
Veröffentlicht:	Brac University 2022
Schlagworte:	CNN Deep learning VGG-19 Resnet-101 Inception v3 MRI image classification Detecting Alzheimer disease Cognitive learning theory (Deep learning) Alzheimer's disease. Neural networks (Computer science) Brain > Imaging > Mathematical models.
Online Zugang:	http://hdl.handle.net/10361/16906

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