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.

Bibliografski detalji
Glavni autori:	Oni, Farhan Anzum, Hossain Sayem, Kazi Sazzad, Rahman, Mushfiqur, Kabir, Sanjida, Bhuiyan, Fardeen Yousuf
Daljnji autori:	Alam, Dr. Md. Ashraful
Format:	Disertacija
Jezik:	English
Izdano:	Brac University 2023
Teme:	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.
Online pristup:	http://hdl.handle.net/10361/19868

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