An interpretable deep learning approach to detect Alzheimer using MRI images

An interpretable deep learning approach to detect Alzheimer using MRI images

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2023.

Detalles Bibliográficos
Main Authors: Oni, Farhan Anzum, Hossain Sayem, Kazi Sazzad, Rahman, Mushfiqur, Kabir, Sanjida, Bhuiyan, Fardeen Yousuf
Outros autores: Alam, Dr. Md. Ashraful
Formato: Thesis
Idioma:English
Publicado: Brac University 2023
Subjects:
MRI
Deep learning
Convolutional Neural Networks (CNN)
Multiclass classification approach
VGG-19
ResNet50 V2
DenseNet-169
Inception V3
Augmentation
Explainable AI (XAI)
Gradient-Weighted Class Activation Mapping(GradCam)
Cognitive learning theory (Deep learning)
Alzheimer's disease.
Neural networks (Computer science)
Brain > Imaging > Mathematical models.
Acceso en liña:http://hdl.handle.net/10361/19868

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