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Demystify the blackbox model of automated detection of lung and kidney diseases from X-ray and CT radiographs
(Brac University, 2021-12)
Radiology imaging, such as magnetic resonance imaging (MRI), computed tomography
(CT-scan), X-ray imaging (X-ray), and ultrasound imaging (US), is used to
diagnose a variety of disorders, including brain disease, whole-body ...
A deep learning approach for pneumonia classification from chest X-Ray images with ensemble modelling and explainable AI
(Brac University, 2021-06-08)
Pneumonia is one of those frightening diseases that has a high mortality rate among children and the elderly, with an estimated 2 million fatalities per year. Pneumonia affects the poorest people in Africa and Asia the most, ...
Detecting Deepfake images using deep convolutional neural network
(Brac University, 2021-09)
In recent years, advancement in the realm of machine learning has introduced a
feature known as Deepfake pictures, which allows users to substitute a genuine face
with a fake one that seems real. As a result, distinguishing ...
A texture based industrial fault diagnosis model using Gammatone Filter Bank and transfer learning
(Brac University, 2021-09)
Rapid industrial growth has increased the vulnerability of systems to malfunction
and permanent damage. Fault detection systems have been installed to prevent such
occurrences. In order to eliminate potential life-threatening ...