[HTML][HTML] A systematic review of deep learning data augmentation in medical imaging: Recent advances and future research directions

T Islam, MS Hafiz, JR Jim, MM Kabir, MF Mridha - Healthcare Analytics, 2024 - Elsevier
Data augmentation involves artificially expanding a dataset by applying various
transformations to the existing data. Recent developments in deep learning have advanced …

[HTML][HTML] A Modified Bio-Inspired Optimizer with Capsule Network for Diagnosis of Alzheimer Disease

P Ganesan, GP Ramesh, C Puttamdappa… - Applied Sciences, 2024 - mdpi.com
Recently, Alzheimer's disease (AD) is one of the common neurodegenerative disorders,
which primarily occurs in old age. Structural magnetic resonance imaging (sMRI) is an …

[HTML][HTML] An alzheimer's disease classification method using fusion of features from brain magnetic resonance image transforms and deep convolutional networks

A Asgharzadeh-Bonab, H Kalbkhani, S Azarfardian - Healthcare Analytics, 2023 - Elsevier
Alzheimer's is a progressive and irreversible brain degenerative disorder, and presenting an
accurate early-stage diagnosis tool is vital for preventing disease progression. The previous …

Deep Learning Techniques for Automated Dementia Diagnosis Using Neuroimaging Modalities: A Systematic Review (2012-2023)

D Ozkan, O Katar, M Ak, MA Al-Antari, NY Ak… - IEEE …, 2024 - ieeexplore.ieee.org
Dementia is a condition that often comes with aging and affects how people think,
remember, and behave. Diagnosing dementia early is important because it can greatly …

FGI-CogViT: Fuzzy Granule-based Interpretable Cognitive Vision Transformer for Early Detection of Alzheimer's Disease using MRI Scan Images

A Pramanik, S Sarker, S Sarkar, I Bose - Information Systems Frontiers, 2024 - Springer
Early detection of Alzheimer's disease (AD) is crucial for timely intervention and
management of this debilitating neurodegenerative disorder. However, it demands further …

Dominating Alzheimer's disease diagnosis with deep learning on sMRI and DTI-MD

Y Li, G Chen, G Wang, Z Zhou, S An, S Dai… - Frontiers in …, 2024 - frontiersin.org
Background Alzheimer's disease (AD) is a progressive and irreversible neurodegenerative
disorder that has become one of the major health concerns for the elderly. Computer-aided …

Effective Alzheimer's disease detection using enhanced Xception blending with snapshot ensemble

C Mahanty, T Rajesh, N Govil, N Venkateswarulu… - Scientific Reports, 2024 - nature.com
Abstract Alzheimer's disease (AD), a prevalent neurodegenerative disorder, leads to
progressive dementia, which impairs decision-making, problem-solving, and …

An efficient vision transformer for Alzheimer's disease classification using magnetic resonance images

SY Lu, YD Zhang, YD Yao - Biomedical Signal Processing and Control, 2025 - Elsevier
Alzheimer's disease (AD) is the most common dementia that is often seen among the
elderly. AD can cause the loss of cognitive ability and memory, which can result in death as …

高分辨质谱与深度学习视阈下的藏红花品质分析

宋含, 房芳, 魏哲文, 杨丽, 巩志国, 张荣, 贾玮 - 分析测试学报, 2023 - fxcsxb.com
高分辨质谱结合传统数据分析方法常用于藏红花品质鉴别. 但传统数据分析算法的准确率低,
模型拟合效果差, 导致判别结果的假阳性率与假阴性率高, 难以进行精准鉴别 …

A Comparative Study on Data Balancing Methods for Alzheimer's Disease Classification

E Öter, Y Doğan - Çukurova Üniversitesi Mühendislik Fakültesi …, 2024 - dergipark.org.tr
Alzheimer's disease is a prevalent neurological disorder affecting millions of people
worldwide, often associated with the aging process, leading to the death of nerve cells in the …