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Now showing items 21-27 of 27
Computer vision based skin disease detection using machine learning
(Brac University, 2022-09-28)
Skin cancer have been the primary focus of this study, as they are one of the most
deadly diseases if not diagnosed and treated early. The study will make it possible
for computer science and medical science to work ...
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 ...
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, ...
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 ...
Application of CNN based architectures in detection of distracted drivers
(Brac University, 2022-08)
Distracted driving is known to be one of the most significant reasons behind the
occurrence of traffic accidents. Moreover, the phenomenon of the occurrence of
road accidents due to distracted driving has been increasing ...