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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 ...
An efficient deep learning approach for detecting Alzheimer’s disease using brain images
(Brac University, 2022-01)
Alzheimer’s disease (AD) is a disorder of the brain which causes the loss of memory.
This is a successively growing disease which means the severity of it will be upward
with the time. In this century, AD is one of the ...
Deep learning based predictive analytics for decentralized content caching in hierarchical edge networks
(Brac University, 2022-01)
Content centric network is a state-of-the-art networking architecture for content
distribution and content caching. However, it is inefficient to cache every content
in each network device. The modern edge computing ...