Early detection of Alzheimer’s disease using squeeze and excitation network with local binary pattern descriptor-Reference-Cited by-同舟云学术

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Early detection of Alzheimer’s disease using squeeze and excitation network with local binary pattern descriptor

Published:2024-05-09 Issue:2 Volume:27 Page:
ISSN:1433-7541
Container-title:Pattern Analysis and Applications
language:en
Short-container-title:Pattern Anal Applic

Author:

Francis Ambily,Pandian S. Immanuel Alex,Sagayam K. Martin,Dang Lam,Anitha J.,Dinh Linh,Pomplun Marc,Dang Hien^ORCID

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s10044-024-01280-1.pdf

Reference57 articles.

1. Breijyeh Z, Karaman R (2020) Comprehensive review on Alzheimer’s disease: causes and treatment. Molecules 25(24):5789. https://doi.org/10.3390/molecules25245789

2. Mendez MF (2012) Early-onset Alzheimer’s disease: nonamnestic subtypes and type 2 AD. Arch Med Res 43(8):677–685. https://doi.org/10.1016/j.arcmed.2012.11.009

3. Zhu D, Montagne A, Zhao Z (2021) Alzheimer’s pathogenic mechanisms and underlying sex difference. Cell Mol Life Sci 78(11):4907–4920

4. Hien DTT, Huan HX, Huynh HT (2009) Multivariate interpolation using radial basis function networks. Int J Data Min Modelling Manage 1(3):291–309

5. Thusnavis Bella Mary I, Bruntha PM, Manimekalai MAP, Sagayam KM, Dang H (2021) Investigation of an efficient Integrated Semantic interactive algorithm for image Retrieval. Pattern Recognit Image Anal 31(4):709–721

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