Browsing by Subject "Artificial intelligence--Medical applications"
Now showing items 1-6 of 6
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Advancing medical image security: a hybrid DNA-AES based cryptosystem
(Brac University, 2024-01)In today’s technological age, it is simple to obtain someone’s personal information via data transmission, especially for those who don’t use sufficient data security throughout the process. Data breaches are now a ... -
Brain tumor detection with convolutional neural network
(Brac University, 2023-09)The brain is the command center of our nervous system, which enables thoughts, memories, movements, and emotions. In other words, it is the most important organ in the human body. The human brain is very vulnerable to ... -
EAI4CC: deciphering lung and colon cancer categorization within a federated learning framework harnessing the power of explainable artificial intelligence
(Brac University, 2024-01)Advances between medical imaging and artificial intelligence (AI) have led to improvements in cancer diagnosis and classification. This paper provides a new framework called Explainable AI for cancer categorization ... -
An efficient approach to detect melanoma skin cancer using a custom CNN model
(Brac University, 2022-09-28)Despite only making up 1% of all occurrences of skin cancer, melanoma is one of the most prevalent forms to cause fatalities in recent years. Melanoma has a survival rate of more than 50% from the early stages to the ... -
Explainable AI (XAI) driven skin cancer detection using transformer and CNN based architecture
(Brac University, 2023-09)Skin Cancer is a cancer form that has become very prevalent in recent times and, if left untreated, has the potential to cause premature death. That is why early diagnosis and treatment are important to cure this disease. ... -
Smart sheba: an investigation on the effectiveness of integrating LLM enabled chatbots and using a user-centred design strategy to enhance user experience of older adults
(Brac University, 2024-01)Elderly users face physical, behavioral, and cognitive constraints as they age. As a considerable portion of the world’s population comprises elderly people, the graphical user interfaces (GUI) of commercial technology ...
