Systematic comparison of 3D Deep learning and classical machine learning explanations for Alzheimer’s Disease detection-Reference-Cited by-同舟云学术

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Systematic comparison of 3D Deep learning and classical machine learning explanations for Alzheimer’s Disease detection

Published:2024-03 Issue: Volume:170 Page:108029
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Bloch Louise,Friedrich Christoph M.

Funder

University of Applied Sciences and Arts Dortmund

Publisher

Elsevier BV

Reference118 articles.

1. 2022 Alzheimer’s disease facts and figures;Alzheimer’s Association;Alzheimer’s Dementia,2022

2. Advances in developing novel therapeutic strategies for Alzheimer’s disease;Cao;Molecul. Neurodegener.,2018

3. Convolutional neural networks for classification of Alzheimer’s disease: Overview and reproducible evaluation;Wen;Med. Image Anal.,2020

4. Developing a machine learning workflow to explain black-box models for Alzheimer’s disease classification;Bloch,2021

5. Random forests;Breiman;Mach. Learn.,2001

Cited by 2 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. An efficient ANN SoC for detecting Alzheimer's disease based on recurrent computing;Computers in Biology and Medicine;2024-10

2. Alzheimer's Disease Diagnosis - A Critical Appraisal of Technique;2024 1st International Conference on Trends in Engineering Systems and Technologies (ICTEST);2024-04-11

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