Alzheimer’s Disease Detectoin Using Multiple Convolutional Neural Networks-Reference-Cited by-同舟云学术

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Alzheimer’s Disease Detectoin Using Multiple Convolutional Neural Networks

Published:2022-04-23 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE)
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Author:

R Smitha¹,S Parvathy G²,Nair Arya J²,S Sandhya²,S Sreeja Kumari²

Affiliation:

1. NSS Polytechnic College, Pandalam,Dept. of Electronics and Communication,Pathanamthitta,India

2. NSS Polytechnic College, Pandalam,Dept. of Computer Engineering,Pathanamthitta,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9792621/9792636/09793103.pdf?arnumber=9793103

Reference15 articles.

1. The Application of Deep Convolutional Neural Networks to Brain Cancer Images: A Survey

2. SMOTE: Synthetic Minority Over-sampling Technique

3. Classification of Diagnosis of Alzheimer’s Disease Based on Convolutional Layers of VGG16 Model using Speech Data

4. ResNet-based Image Classification of Railway Shelling Defect

5. Classification of COVID-19 Patients Using Deep Learning Architecture of InceptionV3 and ResNet50

Cited by 1 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. Alzheimer’s Disease Detection Using Transfer Learning: Performance Analysis of InceptionResNetV2 and ResNet50 Models;2023 Seventh International Conference on Image Information Processing (ICIIP);2023-11-22

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