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Transfer learning techniques for medical image analysis: A review
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 …
has enabled early diagnosis of medical conditions. Manual image analysis methods are …
Deep learning for Alzheimer's disease diagnosis: A survey
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 …
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 …
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
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 …
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 …
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
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 …
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
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 …
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
Background The improvement of health indicators and life expectancy, especially in
developed countries, has led to population growth and increased age-related diseases …
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
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 …
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
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 …
cognitive and memory dysfunctions. The early detection of AD is necessary to reduce the …