A CAD system design using iteratively reweighted fuzzy c-means and deep tree training for Alzheimer's disease diagnosis-Reference-Cited by-同舟云学术

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A CAD system design using iteratively reweighted fuzzy c-means and deep tree training for Alzheimer's disease diagnosis

Published:2024-02 Issue: Volume:88 Page:105655
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Sasikala T.S.

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing,Biomedical Engineering

Reference35 articles.

1. Alzheimer's disease;Scheltens;Lancet,2021

2. Alzheimer's disease, Recent treatment strategies;Vaz;Eur. J. Pharmacol.,2020

3. Memory loss in Alzheimer's disease;Jahn;Dialogues Clin. Neurosci.,2022

4. Epidemiology of Alzheimer's disease: occurrence, determinants, and strategies toward intervention;Qiu;Dialogues Clin. Neurosci.,2022

5. The Relationship between Drinking Soft Drinks with Obesity in 9–12 Years Old Children;Prihantini;Int. J. Health Sci. Res.,2022

Cited by 3 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. Multimodal mixing convolutional neural network and transformer for Alzheimer’s disease recognition;Expert Systems with Applications;2025-01

2. Intelligent Techniques for Detection and Diagnosis of Neurodegenerative Diseases;Advances in Medical Technologies and Clinical Practice;2024-06-28

3. AI in Neurodegeneration Prediction;Advances in Medical Technologies and Clinical Practice;2024-06-28

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