Multi-Model Approach for Alzheimer Disease Detection and Classification-Reference-Cited by-同舟云学术

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Multi-Model Approach for Alzheimer Disease Detection and Classification

Published:2024-03-01 Issue: Volume: Page:1-5
ISSN:
Container-title:2024 3rd International Conference for Innovation in Technology (INOCON)
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Author:

Koluragi Parateek¹,Deshpande Yash¹,Dhumale Ganesh¹,Chikkamath Satish¹,R Nirmala S¹,Budihal Suneeta V¹

Affiliation:

1. KLE Technological University,School of Electronics and Communication Engineering,Hubli,Karnataka

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10511271/10511093/10511750.pdf?arnumber=10511750

Reference13 articles.

1. Diagnosis of Alzheimer’s Disease by Canonical Correlation Analysis Based Fusion of Multi-Modal Medical Images

2. Joint Multi-Modal Longitudinal Regression and Classification for Alzheimer’s Disease Prediction

3. Discriminative analysis of early Alzheimer's disease using multi-modal imaging and multi-level characterization with multi-classifier (M3)

4. MDMA: Multimodal Data and Multi-attention Based Deep Learning Model for Alzheimer’s Disease Diagnosis

5. Classification of Alzheimer’s Disease from MRI Data Using an Ensemble of Hybrid Deep Convolutional Neural Networks

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. Multivariate pattern analysis of medical imaging-based Alzheimer's disease;Frontiers in Medicine;2024-07-19

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