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.

Bibliografiska uppgifter
Huvudupphovsmän: Sani, Mehedi Hasan, Rahman, Mohibur, Achib, Md. Abdullah Al, Hossain, Rakib
Övriga upphovsmän: Alam, Md. Ashraful
Materialtyp: Lärdomsprov
Språk:English
Publicerad: Brac University 2022
Ämnen:
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.
Länkar:http://hdl.handle.net/10361/16906

Internet

http://hdl.handle.net/10361/16906

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