Transfer Learning and Neural Network-Based Approach on Structural MRI Data for Prediction and Classification of Alzheimer's Disease

被引：0
作者：
Momeni, Farideh [1 ]
Shahbazi-Gahrouei, Daryoush [1 ]
Mahmoudi, Tahereh [2 ]
Mehdizadeh, Alireza [2 ]
机构：
[1] Isfahan Univ Med Sci, Sch Med, Dept Med Phys, Esfahan 8174673461, Iran
[2] Shiraz Univ Med Sci, Sch Med, Dept Med Phys & Engn, Shiraz 7134814336, Iran
来源：
DIAGNOSTICS | 2025年 / 15卷 / 03期
关键词：
structural MRI; deep learning; transfer learning; Alzheimer's disease; mild cognitive impairment; DEMENTIA; MODEL; PET;
D O I：
10.3390/diagnostics15030360
中图分类号：
R5 [内科学];
学科分类号：
1002 ; 100201 ;
摘要：
Background: Alzheimer's disease (AD) is a neurodegenerative condition that has no definitive treatment, and its early diagnosis can help to prevent or slow down its progress. Structural magnetic resonance imaging (sMRI) and the progress of artificial intelligence (AI) have significant attention in AD detection. This study aims to differentiate AD from NC and distinguish between LMCI and EMCI from the other two classes. Another goal is the diagnostic performance (accuracy and AUC) of sMRI for predicting AD in its early stages. Methods: In this study, 398 participants were used from the ADNI and OASIS global database of sMRI including 98 individuals with AD, 102 with early mild cognitive impairment (EMCI), 98 with late mild cognitive impairment (LMCI), and 100 normal controls (NC). Results: The proposed model achieved high area under the curve (AUC) values and an accuracy of 99.7%, which is very remarkable for all four classes: NC vs. AD: AUC = [0.985], EMCI vs. NC: AUC = [0.961], LMCI vs. NC: AUC = [0.951], LMCI vs. AD: AUC = [0.989], and EMCI vs. LMCI: AUC = [1.000]. Conclusions: The results reveal that this model incorporates DenseNet169, transfer learning, and class decomposition to classify AD stages, particularly in differentiating EMCI from LMCI. The proposed model performs well with high accuracy and area under the curve for AD diagnostics at early stages. In addition, the accurate diagnosis of EMCI and LMCI can lead to early prediction of AD or prevention and slowing down of AD before its progress.
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页数：13
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