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.

书目详细资料
Main Authors:	Oni, Farhan Anzum, Hossain Sayem, Kazi Sazzad, Rahman, Mushfiqur, Kabir, Sanjida, Bhuiyan, Fardeen Yousuf
其他作者:	Alam, Dr. Md. Ashraful
格式:	Thesis
语言:	English
出版:	Brac University 2023
主题:	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.
在线阅读:	http://hdl.handle.net/10361/19868

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