MULTI-SLICE MRI CLASSIFICATION FOR ALZHEIMER'S DISEASE DIAGNOSIS WITH DEEP LEARNING

被引：0

作者：

Chen, Yang ^{[1
]}

Lu, Siyao ^{[2
,3
]}

Zhang, Heng ^{[3
]}

Zhang, Teng-teng ^{[3
]}

Li, Xueping ^{[3
]}

Xu, Caixu ^{[2
]}

Gong, Zhipeng ^{[3
]}

Gong, Haixiao ^{[2
]}

机构：

[1] Chinese Acad Sci, R P China, 668 Jinhu Rd, Guiyang 550001, Peoples R China

[2] Chinese Acad Sci, R P China, 82 Fumin 3rd Rd, Guiyang 550001, Peoples R China

[3] Chinese Acad Sci, R P China, 4221 Xiangan South Rd, Guiyang 550001, Peoples R China

来源：

JOURNAL OF MECHANICS IN MEDICINE AND BIOLOGY | 2025年 / 25卷 / 02期

关键词：

Deep learning; medical image processing; Alzheimer's disease; MRI image classification;

D O I：

10.1142/S0219519425400287

中图分类号：

Q6 [生物物理学];

学科分类号：

071011 ;

摘要：

As the Alzheimer's disease progresses, patients experience impairments in language and cognitive functions, impacting their ability to manage the daily activities. Due to the subtle nature of early symptoms and varying diagnostic expertise, there is a risk of misdiagnosis and missed diagnosis. To address this issue, this paper proposes a model integrating deep learning algorithms to facilitate intelligent recognition of the MRI images of Alzheimer's patients. This approach aids doctors and patients in early prevention and treatment.

引用

页数：19

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