Automated Alzheimer's disease classification using deep learning models with Soft-NMS and improved ResNet50 integration-Reference-Cited by-全球学者库

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Automated Alzheimer's disease classification using deep learning models with Soft-NMS and improved ResNet50 integration

Published:2024-03 Issue:1 Volume:17 Page:100782
ISSN:1687-8507
Container-title:Journal of Radiation Research and Applied Sciences
language:en
Short-container-title:Journal of Radiation Research and Applied Sciences

Author:

Chen Yusi^ORCID,Wang Lizhen,Ding Bijiao,Shi Jianshe,Wen Tingxi,Huang Jianlong,Ye Yuguang

Publisher

Elsevier BV

Subject

General Medicine

Reference32 articles.

1. Recognition of alzheimer's disease and mild cognitive impairment with multimodal image-derived biomarkers and multiple kernel learning;Ahmed;Neurocomputing,2017

2. 2019 Alzheimer's disease facts and figures;Alzheimer's and Dementia,2019

3. The present and future of pharmacotherapy of alzheimer's disease: A comprehensive review;Anand;European Journal of Pharmacology,2017

4. On the properties of neural machine translation: Encoder-decoder approaches;Cho,2014

5. Building consensus for the Alzheimer's Association dementia care practice recommendations;Gould;J]. Alzheimer's Care Today,2008

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