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Now showing items 91-100 of 107
An Efficient deep learning approach to detect Brain Tumor using MRI images
(Brac University, 2021-10)
A brain tumor is the development of mutated cells in the human brain. Many di er-
ent types of brain tumors exist nowadays. According to researchers and physicians,
some brain tumors are non-cancerous while some are ...
Application of deep convolutional neural network in multiclass skin cancer classification using custom CNN architecture
(Brac University, 2023-05)
Skin diseases represent a significant global health concern, and prompt and pre-
cise diagnosis is necessary for efficient treatment. Convolutional Neural Networks
(CNNs), in particular, have shown tremendous promise in ...
An efficient deep learning approach to detect retinal disease using optical coherence tomographic images
(Brac University, 2022-05)
Optical Coherence Tomography (OCT) is an effective approach for diagnosing retinal
problems that can be used in combination with traditional diagnostic testing
methods. We developed and implemented a deep Convolutional ...
U-net Based Autonomous Fetal Segmentation From 2D and 3D Ultrasound Images
(Brac University, 2022-05)
There are various biometric parameters of the fetus that need to be evaluated to
monitor prenatal diagnosis during pregnancy. Biometric parameters such as head
circumference, abdominal circumference, cortical volume, the ...
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 federated learning approach for detecting Parkinson’s disease through privacy preserving by blockchain
(Brac University, 2022-05)
Parkinson’s disease is a degenerative ailment caused by the loss of nerve cells in
the brain region known as the Substantia Nigra, which governs movement. These
nerve cells die or deteriorate, rendering them unable to ...
Automated fabric color prediction
(Brac University, 2023-05)
"This paper focuses on addressing some challenges faced by colorists and explores
various approaches to predict fabric color changes after dyeing processes. It empha-
sizes the importance of color prediction in the textile ...
Pyramid pooling enhanced ResUNet for accurate 3D brain image segmentation
(Brac University, 2023-09)
"Medical picture segmentation is important for clinical applications because it can
offer valuable information on disease identification. With the inclusion of deep
learning techniques, the original U-Net and ResUnet ...
Speech command classification based on deep neural networks
(Brac University, 2023-03)
In our day-to-day life there are lots of sounds that we are processing. To process
these sounds our brain absorb sound signals and provide us informative knowledge.
For human being this is not possible to extract every ...
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 ...