Identifying and Categorizing Alzheimer's Disease with Lightweight Federated Learning Using Identically Distributed Images-Reference-Cited by-同舟云学术

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Identifying and Categorizing Alzheimer's Disease with Lightweight Federated Learning Using Identically Distributed Images

Published:2024-03-14 Issue: Volume: Page:
ISSN:
Container-title:2024 11th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)
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Author:

Trivedi Naresh Kumar¹,Jain Sachin²,Agarwal Sumit³

Affiliation:

1. Chitkara University Institute of Engineering and Technology, Chitkara University,Punjab,India

2. Ajay Kumar Garg Engineering College,Department of Computer Science & Engineering,Ghaziabad,UP,India

3. Delhi Institute of Higher Education,Department of Management,Greater Noida West,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10522096/10522101/10522428.pdf?arnumber=10522428

Reference15 articles.

1. Brain Tumor Classification using Deep learning based Novel Hybrid Approach

2. 2018 Alzheimer's disease facts and figures

3. Multivariate Data Analysis and Machine Learning in Alzheimer's Disease with a Focus on Structural Magnetic Resonance Imaging

4. Lung Cancer Classification Using Deep Learning Hybrid Model

5. Amnestic MCI or prodromal Alzheimer's disease?

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. Review of Federated Learning and Machine Learning-Based Methods for Medical Image Analysis;Big Data and Cognitive Computing;2024-08-28

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