Browsing by Subject "Imaging systems in medicine."
Now showing items 1-4 of 4
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Analyzing the security differential privacy provides and the trade-off between performance and privacy in medical image classification
(Brac University, 2024-05)One of machine learning’s main purposes is to draw out functional and practical information from a set of data while perpetuating the entire privacy by protecting all information. While it might seem a bit hard to maintain, ... -
Detecting anomalies in human eyes using structural similarity index measurement
(Brac University, 2018-12)From the idea of anomaly, we come to learn that basically it is an idea of abnormality of eyesight, and interruption on the screen of eyes that does not fit with the rest of the pattern. Whatever we see or the images we ... -
Detection of pulmonary diseases from chest X-ray images using deep learning model
(BRAC University, 2024-10)Deep learning models are important in efficiently identifying different pulmonary diseases from Chest X-ray Images (CXRs). Pneumonia is one of the most common lung diseases that cause death. Especially, stage 4 pneumonia ... -
Leveraging unsupervised segmentation for semi-supervised renal calculi and carcinoma segmentation and classification
(Brac University, 2024-06)Indeed it became crucial to develop an AI-driven system for detecting Renal illnesses spontaneously due to a healthcare issue of Renal failure. The global shortage of nephrologists is the core reason for this. This ...
