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.

מידע ביבליוגרפי
Main Authors: Oni, Farhan Anzum, Hossain Sayem, Kazi Sazzad, Rahman, Mushfiqur, Kabir, Sanjida, Bhuiyan, Fardeen Yousuf
מחברים אחרים: Alam, Dr. Md. Ashraful
פורמט: Thesis
שפה:English
יצא לאור: Brac University 2023
נושאים:
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.
גישה מקוונת:http://hdl.handle.net/10361/19868

אינטרנט

http://hdl.handle.net/10361/19868

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