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Now showing items 51-57 of 57
Early stage detection and classification of colon cancer using deep learning and explainable AI on histopathological images
(Brac University, 2022-01)
Colon cancer is one the most prominent and daunting life threatening illnesses in
the world. Histopathological diagnosis is one of the most important factors in determining
cancer type. The current study aims to create ...
Multi-classification Network for Detecting Skin Diseases using Deep Learning and XAI
(Brac University, 2022-05)
This research work aims to show a comparative analysis among four different deep
learning approaches to classify three rare but deadly skin diseases namely Stevens Johnson Syndrome, Erythema Multiforme and Bullous Pemphigoid. ...
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 ...
A comparison of deep learning U‐Net architectures for semantic segmentation on panoramic X-ray images
(Brac University, 2023-01)
Digital image processing utilizes deep learning to tackle challenging issues such as
image colourization, classification, segmentation, and detection. The medical image
analysis field is developing day by day, and ...
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 ...
Leveraging sequential deep learning models for detecting multitude of human action categories
(Brac University, 2023-09)
In today’s world, where science and technology are constantly evolving day by day,
people are drawn to tangible experiences and visual representations. There’s a growing
effort to teach machines about human movements and ...
Document template identification and data extraction using machine learning and deep learning approach
(Brac University, 2024-01)
As the world keeps progressing and we continue on our path to a technologically
advanced tomorrow, the demand for quick data processing and organization is becoming
more and more necessary. People now have access to ...