Transfer learning techniques for medical image analysis: A review

P Kora, CP Ooi, O Faust, U Raghavendra… - Biocybernetics and …, 2022 - Elsevier
Medical imaging is a useful tool for disease detection and diagnostic imaging technology
has enabled early diagnosis of medical conditions. Manual image analysis methods are …

Deep learning for Alzheimer's disease diagnosis: A survey

M Khojaste-Sarakhsi, SS Haghighi… - Artificial intelligence in …, 2022 - Elsevier
Alzheimer's Disease (AD) is an irreversible neurodegenerative disease that results in a
progressive decline in cognitive abilities. Since AD starts several years before the onset of …

Multi-classification of brain tumor MRI images using deep convolutional neural network with fully optimized framework

E Irmak - Iranian Journal of Science and Technology …, 2021 - Springer
Brain tumor diagnosis and classification still rely on histopathological analysis of biopsy
specimens today. The current method is invasive, time-consuming and prone to manual …

Deep transfer learning approaches in performance analysis of brain tumor classification using MRI images

C Srinivas, NP KS, M Zakariah… - Journal of …, 2022 - Wiley Online Library
Brain tumor classification is a very important and the most prominent step for assessing life‐
threatening abnormal tissues and providing an efficient treatment in patient recovery. To …

DEMNET: A deep learning model for early diagnosis of Alzheimer diseases and dementia from MR images

S Murugan, C Venkatesan, MG Sumithra, XZ Gao… - Ieee …, 2021 - ieeexplore.ieee.org
Alzheimer's Disease (AD) is the most common cause of dementia globally. It steadily
worsens from mild to severe, impairing one's ability to complete any work without assistance …

Analysis of features of Alzheimer's disease: Detection of early stage from functional brain changes in magnetic resonance images using a finetuned ResNet18 network

M Odusami, R Maskeliūnas, R Damaševičius… - Diagnostics, 2021 - mdpi.com
One of the first signs of Alzheimer's disease (AD) is mild cognitive impairment (MCI), in
which there are small variants of brain changes among the intermediate stages. Although …

An intelligent system for early recognition of Alzheimer's disease using neuroimaging

M Odusami, R Maskeliūnas, R Damaševičius - Sensors, 2022 - mdpi.com
Alzheimer's disease (AD) is a neurodegenerative disease that affects brain cells, and mild
cognitive impairment (MCI) has been defined as the early phase that describes the onset of …

Early diagnosis of Alzheimer's disease based on deep learning: A systematic review

S Fathi, M Ahmadi, A Dehnad - Computers in biology and medicine, 2022 - Elsevier
Background The improvement of health indicators and life expectancy, especially in
developed countries, has led to population growth and increased age-related diseases …

Revolutionizing the early detection of Alzheimer's disease through non-invasive biomarkers: the role of artificial intelligence and deep learning

AG Vrahatis, K Skolariki, MG Krokidis, K Lazaros… - Sensors, 2023 - mdpi.com
Alzheimer's disease (AD) is now classified as a silent pandemic due to concerning current
statistics and future predictions. Despite this, no effective treatment or accurate diagnosis …

Detection of Alzheimer's disease using Otsu thresholding with tunicate swarm algorithm and deep belief network

P Ganesan, GP Ramesh, P Falkowski-Gilski… - Frontiers in …, 2024 - frontiersin.org
Introduction: Alzheimer's Disease (AD) is a degenerative brain disorder characterized by
cognitive and memory dysfunctions. The early detection of AD is necessary to reduce the …