Browsing by Subject "Image analysis"
Now showing items 1-4 of 4
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Artificial intelligence in nephrology: detecting chronic kidney disease using neural network
(Brac University, 2024-05)Chronic kidney disease (CKD) is a significant global health concern, impacting more than 800 million people globally. Prompt identification and precise categorization are crucial for optimal therapy. The primary objective ... -
Enhanced medical image analysis: leveraging CUDA for fast and accurate Pneumonia detection with optimized CNNs
(Brac University, 2024-05)Pneumonia, a known leading child killer and a general health burden, continues to be a major concern due to its high morbidity and mortality rates in the developing world, which calls for prompt and accurate diagnosis. ... -
Tiny-ML based person identification in dynamic motion
(Brac University, 2024-05)TinyML, short for Tiny Machine Learning, focuses on small, low-power machine learning systems, with a significant emphasis on human identification. This capability is crucial in areas like access control, security, and ... -
Traumatic meningeal enhancement detection by deep learning-based biomedical image analysis and handcrafted features extraction
(Brac University, 2024-01)Traumatic Meningeal Enhancement (TME) is a critical medical condition characterized by abnormal enhancement of the meninges following trauma, often observed in medical imaging studies. Traumatic meningeal injuries result ...