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Skin disease detection and classification using deep learning
(Brac University, 2022-01)
Skin Diseases have been the primary focus of this study, as they are one of the
most lethal diseases if not diagnosed and treated early. The research will enable
the fields of Medical Science and Computer Science to ...
RetinalNet-500: a newly developed CNN model for eye disease detection
(Brac University, 2022-05)
Fundus images are commonly used by medical experts like ophthalmologists, which
are very helpful in detecting various retinal disorders. They used this to diagnose
the different types of eye diseases like Cataracts, ...
Demand forecasting on supply chain using ML and NN
(Brac University, 2022-05)
Demand forecasting is mainly a process whereby analyzing historical sales data,
strategic and operational strategies are devised in order to estimate customer demand.
One of the most fundamental aspects of supply chain ...
Classification of respiratory diseases and COVID-19 from respiratory and cough sound using deep learning techniques
(Brac University, 2022-01)
Infectious and non-infectious respiratory diseases are among the major reasons for
deaths, financial and social crises around the world. However, medical personnel
still find it very difficult to detect the diseases using ...
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 ...
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 ...