Alzheimer's Disease Prediction Using Convolutional Neural Network Models Leveraging Pre-existing Architecture and Transfer Learning-Reference-Cited by-同舟云学术

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Alzheimer's Disease Prediction Using Convolutional Neural Network Models Leveraging Pre-existing Architecture and Transfer Learning

Published:2020-08-26 Issue: Volume: Page:
ISSN:
Container-title:2020 Joint 9th International Conference on Informatics, Electronics & Vision (ICIEV) and 2020 4th International Conference on Imaging, Vision & Pattern Recognition (icIVPR)
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Author:

Abed Mahjabeen Tamanna,Fatema Umme,Nabil Shanewas Ahmed,Alam Md. Ashraful,Reza Md Tanzim

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9306505/9306510/09306649.pdf?arnumber=9306649

Cited by 19 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Enhancing Alzheimer's Disease Classification with Transfer Learning: Finetuninga Pre-trained Algorithm;Current Medical Imaging Reviews;2024-07-24

2. An efficient GS-RBFN framework for early prediction and classification of ad;Multimedia Tools and Applications;2024-05-03

3. Progression Analysis and Facial Emotion Recognition in Dementia Patients Using Machine Learning;Proceedings of International Conference on Network Security and Blockchain Technology;2023-11-29

4. NeuroPredict: A Comprehensive Approach for Alzheimer’s Disease Prediction and Development of a Medical Assisting Kit;2023 International Conference on Recent Advances in Science and Engineering Technology (ICRASET);2023-11-23

5. Enhanced Classification of Alzheimer’s Disease Stages via Weighted Optimized Deep Neural Networks and MRI Image Analysis;Traitement du Signal;2023-10-30

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