Browsing by Subject "Artificial intelligence--Medical applications."
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 ... -
Comparative analysis of machine learning models for the prediction of asthma disease among the cardiovascular disease patients
(Brac University, 2024-06)Cardiovascular diseases (CVD) are a leading cause of morbidity and mortality worldwide, and recent studies have highlighted a potential association between CVD and the development of asthma. Predicting the likelihood of ... -
Fetal plane classification from 2D-ultrasound images leveraging squeeze and excitation self-attention mechanism for feature recalibration in MedMamba
(Brac University, 2024-05)A fetal ultrasound is a safe pregnancy test that provides an image of the baby’s heart, head, and spine while also analyzing various aspects of its anatomy. Maternal-fetal ultrasound imaging is critical during pregnancy, ... -
A semi-supervised federated learning approach leveraging pseudo-labeling for Knee Osteoarthritis severity detection
(Brac University, 2024-06)Within medical image analysis, appropriately classifying the extent of knee osteoarthritis is a significant obstacle, made more difficult by the scarcity of annotated data and strict privacy rules. Conventional approaches ...
