Search
Now showing items 1-7 of 7
Myocardial infarction detection using ECG signal applying deep learning techniques - ConvNet, VGG16, InceptionV3 and MobileNet
(Brac University, 2022-01)
Due to our unhealthy diets and the consumption of enhanced cholesterol in our
daily lives, our health has become vulnerable and at risk of different types of cardiac
diseases. The most common of them is Myocardial ...
Critical retinal disease detection from optical coherence tomography images by deep convolutional neural network and explainable machine learning
(Brac University, 2021-01)
Retinal disease diagnosis by machine learning can be achieved using Deep Neural
Network based predictors. Use of Explainable Artificial Intelligence (XAI) has the
potential to explain the black box of those neural network ...
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 ...
Detecting brain tumor using deep neural networks from MRI images
(Brac University, 2021-06)
A brain tumor is a collection of abnormal cells growth in brain. It is a neurological
disease which causes great damage and affects other healthy cells of brain. It can be
cancerous or non-cancerous. Nowadays, people are ...
Retinal Diseases Detection using Deep Learning
(Brac University, 2022-09)
Retina is an important aspect of human vision because it converts light rays into
images and sends messages to the brain. We run the danger of suffering long-term
harm to the eyesight if we have a problem with our retina ...
Identifying brain abnormalities using image processing and CNN models
(Brac University, 2021-06)
In a developing country like Bangladesh, it is tough to detect a brain abnormality, i.e., Pituitary tumor, Glioma, Meningioma, etc., in an early stage and treat them accordingly. In our proposed system, ML(Machine Learning) ...
Two dimensional convolutional neural network CNN approach for detection of Bangla sign language
(Brac University, 2022-09-28)
Sign language is known as the primary communication medium for deaf and mute
people. But the lack of available resources and a steep learning curve deter the
average person from learning it making communication with the ...