Applications of generative adversarial networks (GANs) in positron emission tomography (PET) imaging: A review
ID Apostolopoulos, ND Papathanasiou… - European Journal of …, 2022 - Springer
Purpose This paper reviews recent applications of Generative Adversarial Networks (GANs)
in Positron Emission Tomography (PET) imaging. Recent advances in Deep Learning (DL) …
in Positron Emission Tomography (PET) imaging. Recent advances in Deep Learning (DL) …
Diagnosis of Alzheimer's, Parkinson's disease and frontotemporal dementia using a generative adversarial deep convolutional neural network
RSN Noella, J Priyadarshini - Neural Computing and Applications, 2023 - Springer
Dementia is the key term used to define any brain-related issues that affect memory. It is
caused by physical changes in the human brain. This severely affects thinking, remembering …
caused by physical changes in the human brain. This severely affects thinking, remembering …
Enhanced Alzheimer's disease classification using multilayer deep convolutional neural network-based experimentations
SA Kumar, S Sasikala - Iranian Journal of Science and Technology …, 2023 - Springer
Alzheimer's disease (AD) is an advanced neurological disorder and the main cause of
dementia in the elderly. Early detection of AD is critical for preventing brain damage and …
dementia in the elderly. Early detection of AD is critical for preventing brain damage and …
A Comprehensive Study on Computer Aided Approaches for Multiclass Neurological Disorder Classification
BR MR, K Kavitha, JS Jayasudha - 2023 Third International …, 2023 - ieeexplore.ieee.org
Visualizing anatomical structure benefits from medical imaging and analysis. However,
employing basic imaging methods is challenging and ineffective. Brain abnormalities …
employing basic imaging methods is challenging and ineffective. Brain abnormalities …