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Now showing items 31-40 of 46
Fighting depression: psychological approaches among Bangladeshi university students
(Brac University, 2022-05)
In recent years, mental health deterioration cases have increased exponentially indicates
that this issue needs our attention. Stressful situations of our daily life such as
excessive study load, relationship predicaments, ...
Deep convolutional GAN-based data augmentation for medical image classification
(Brac University, 2022-01)
The field of medical imaging is rapidly growing with the help of machine learning, yet
the problem of scarcity in labeled medical imaging still remains. Therefore training a
machine learning model for medical image ...
Cancer classification using deep learning from medical image data
(Brac University, 2022-01)
Cancer is a disease in which some of the body’s cells grow uncontrollably and spread
to other parts of the body. Cancer can start almost anywhere in the human body,
which is made up of trillions of cells. There is usually ...
Analysis of real-time hostile activitiy detection from spatiotemporal features using time distributed deep convolutional neural networks, recurrent neural networks and attention-based mechanisms
(Brac University, 2022-05)
Throughout time, there has been a surge of hostile activities in public places across
the globe. With the advancement in technology, it has been possible to monitor
public places through real time surveillance. Video ...
Epileptic seizure prediction using bandpass filtering and convolutional neural network
(Brac University, 2022-01)
Epilepsy, a chronic neurological disorder, causes seizure- a fast, uncontrollable electrical
disturbance in the brain. Seizures that last for a long time might result in
memory loss, weariness, photo sensitivity, paralysis, ...
Diabetic retinopathy detection and classification by using deep learning
(Brac University, 2022-01)
Eyes are the most sensitive part of a human being and it is one of the most challenging
tasks for a computer-aided system to classify its diseases. Many visionthreatening
diseases such as, Glaucoma and Diabetic Retinopathy ...
Intracranial hemorrhage detection using CNN-LSTM fusion model
(Brac University, 2022-05)
Intracranial Hemorrhage is a term used to describe bleeding between the brain tissue
and the skull or within the brain tissue itself. It is life-threatening and needs immediate
medical attention. As the first response, ...
An efficient approach for binary classification in brain tumor detection using convolutional neural network
(Brac University, 2022-01)
Brain tumor detection using Convolutional Neural Network (CNN) models with
binary classification has significantly improved the reliability of medical imaging
through Deep Learning. The purpose of this research is to ...
An enhanced CNN model for classifying skin cancer
(Brac University, 2022-01)
Unrepaired deoxyribonucleic acid in skin cells causes skin cancer by generating genetic
abnormalities or mutations, rising day by day. Detecting and diagnosing skin
cancer in its early stages is expensive and challenging, ...
Detection of coronary artery blockage at an early stage using effective deep learning technique
(Brac University, 2022-09-28)
A coronary artery blockage is a form of coronary artery disease also known as CAD.
It is the most common and frequent disease affecting the human body over the age
of 65. CAD is a type of cardiovascular disease that ...