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Now showing items 21-24 of 24
Thoracic complication detection on chest X-rays using deep learning
(2021-06)
Respiratory or thoracic diseases are one of the leading causes of death worldwide. Many of these diseases can be treated and prevented with proper diagnosis and
early care. The diagnosis of thoracic diseases is mainly ...
Demystifying black-box learning models of rumor detection from social media posts
(BRAC University, 2021-09)
Social media and its users are vulnerable to the spread of rumors, therefore, protect ing users from these rumors spread is extremely important. This research proposes a
novel approach for rumor detection in social media ...
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 ...
An active-learning based training-schedule for biomedical image segmentation on deep neural networks
(Brac University, 2021-01)
Biomedical image classification and segmentation are quite important tasks for medical diagnosis. Many Deep Neural Networks (U-Net, V-Net, etc) have been used in
recent years to segment biomedical images. For classification ...