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.

Bibliographic Details
Main Authors:	Oni, Farhan Anzum, Hossain Sayem, Kazi Sazzad, Rahman, Mushfiqur, Kabir, Sanjida, Bhuiyan, Fardeen Yousuf
Other Authors:	Alam, Dr. Md. Ashraful
Format:	Thesis
Language:	English
Published:	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.
Online Access:	http://hdl.handle.net/10361/19868

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

Similar Items