Browsing by Subject "VGG19"
Now showing items 1-8 of 8
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Alzheimer’s Disease detection and classification using transfer learning techniques and ensembling operations on convolutional neural networks
(Brac University, 2021-01)Alzheimer’s disease (AD) is a neurological disease that affects the healthy cells of the brain and results in people having long-term memory loss, thinking problems, disorientation, behavioral inconsistencies and finally ... -
A deep face-mask detection model using DenseNet169 and image processing techniques
(Brac University, 2022-01)The world stood still during the massive breakout of the Covid-19 worldwide. This massive outbreak of this contagious disease was occurred by being airborne. Not only COVID but also there are many other contagious disease ... -
Deep neural network models for COVID-19 diagnosis from CT-Scan, explainability and analysis using trained models
(Brac University, 2021-10)The world is going through a severe viral pandemic which is caused by COVID- 19. People infected with this virus, experience severe respiratory illness. The virus spreads through particles of saliva or droplets from an ... -
Detection of Parkinson’s disease from Neuro-imagery using deep neural network with transfer learning
(Brac University, 2020-04)Parkinson’s disease is a neurological condition that is dynamic and steadily influences the movement of the human body. It causes issues within the brain and slowly increments time by time. Tremor is the major side effect ... -
Detection of prodromal parkinson’s disease with fMRI data and deep neural network approaches
(Brac University, 2021-06)Parkinson’s Disease is the second most common neurological disease after Alzheimer’s Disease. The disease is incurable. However, if the disease can be detected earlier, then the consequences of it’s effect can be relieved. ... -
Early prediction of Alzheimer's disease using convolutional neural network
(Brac University, 2019-08)Neuroimaging can be a prospective instrument for the diagnosis of Mild Cognitive Impairment (MCI) along with its more severe stage, Alzheimer's disease (AD). High- dimensional classi cation methods have been commonly ... -
Interpretable COVID-19 classification leveraging ensemble neural network and explainable AI
(Brac University, 2021-06)COVID-19 which is also none as Corona Virus Disease is rst discovered in a city of China named Wuhan at December 2019 and it has been announced as a global pandemic at the middle of 2020. SARS-CoV-2 virus COVID-19 and ... -
Prediction of glaucoma from fundus images leveraging transfer learning in deep neural network
(Brac University, 2020-06)Transfer learning techniques in deep learning is nowadays a raising and promising field of research and a tool for Artificial Intelligence with a lot of prospects. Our goal is to predict Glaucoma from fundus images to help ...
