[HTML][HTML] Face mask recognition system using CNN model
G Kaur, R Sinha, PK Tiwari, SK Yadav, P Pandey… - Neuroscience …, 2022 - Elsevier
COVID-19 epidemic has swiftly disrupted our day-to-day lives affecting the international
trade and movements. Wearing a face mask to protect one's face has become the new …
trade and movements. Wearing a face mask to protect one's face has become the new …
[HTML][HTML] Applications of artificial intelligence to aid early detection of dementia: a scoping review on current capabilities and future directions
Abstract Background & Objective With populations aging, the number of people with
dementia worldwide is expected to triple to 152 million by 2050. Seventy percent of cases …
dementia worldwide is expected to triple to 152 million by 2050. Seventy percent of cases …
[HTML][HTML] Generalizable deep learning model for early Alzheimer's disease detection from structural MRIs
Early diagnosis of Alzheimer's disease plays a pivotal role in patient care and clinical trials.
In this study, we have developed a new approach based on 3D deep convolutional neural …
In this study, we have developed a new approach based on 3D deep convolutional neural …
[HTML][HTML] MRI deep learning-based solution for Alzheimer's disease prediction
CL Saratxaga, I Moya, A Picón, M Acosta… - Journal of personalized …, 2021 - mdpi.com
Background: Alzheimer's is a degenerative dementing disorder that starts with a mild
memory impairment and progresses to a total loss of mental and physical faculties. The …
memory impairment and progresses to a total loss of mental and physical faculties. The …
[HTML][HTML] Technical and clinical validation of commercial automated volumetric MRI tools for dementia diagnosis—a systematic review
Developments in neuroradiological MRI analysis offer promise in enhancing objectivity and
consistency in dementia diagnosis through the use of quantitative volumetric reporting tools …
consistency in dementia diagnosis through the use of quantitative volumetric reporting tools …
Multivariate machine learning analyses in identification of major depressive disorder using resting-state functional connectivity: A multicentral study
Diagnosis of major depressive disorder (MDD) using resting-state functional connectivity (rs-
FC) data faces many challenges, such as the high dimensionality, small samples, and …
FC) data faces many challenges, such as the high dimensionality, small samples, and …
A Logistic Regression and Decision Tree Based Hybrid Approach to Predict Alzheimer's Disease
RK Patel, E Aggarwal, K Solanki… - 2023 International …, 2023 - ieeexplore.ieee.org
Alzheimer's disease is a degenerative neurological disorder that typically impacts
individuals over the age of 65, causing damage to the brain and resulting in challenges with …
individuals over the age of 65, causing damage to the brain and resulting in challenges with …
Survey of deep learning techniques for disease prediction based on omics data
X Yu, S Zhou, H Zou, Q Wang, C Liu, M Zang, T Liu - Human Gene, 2023 - Elsevier
In the era of big data, computer science has been applied to every aspect of biomedical
field. At the same time, transforming biomedical data into valuable knowledge is one of the …
field. At the same time, transforming biomedical data into valuable knowledge is one of the …
[HTML][HTML] Robustness of radiomics to variations in segmentation methods in multimodal brain MRI
Radiomics in neuroimaging uses fully automatic segmentation to delineate the anatomical
areas for which radiomic features are computed. However, differences among these …
areas for which radiomic features are computed. However, differences among these …
[HTML][HTML] A cross-sectional study of explainable machine learning in Alzheimer's disease: diagnostic classification using MR radiomic features
S Leandrou, D Lamnisos, H Bougias… - Frontiers in Aging …, 2023 - frontiersin.org
Alzheimer's Disease (AD) even nowadays remains a complex neurodegenerative disease
and its diagnosis relies mainly on cognitive tests which have many limitations. On the other …
and its diagnosis relies mainly on cognitive tests which have many limitations. On the other …