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.

التفاصيل البيبلوغرافية
المؤلفون الرئيسيون:	Oni, Farhan Anzum, Hossain Sayem, Kazi Sazzad, Rahman, Mushfiqur, Kabir, Sanjida, Bhuiyan, Fardeen Yousuf
مؤلفون آخرون:	Alam, Dr. Md. Ashraful
التنسيق:	أطروحة
اللغة:	English
منشور في:	Brac University 2023
الموضوعات:	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.
الوصول للمادة أونلاين:	http://hdl.handle.net/10361/19868

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

مواد مشابهة