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Image translation of Bangla and English sign language to written language using convolutional neural network
(Brac University, 2022-05)
One particular thing that differentiates humans from other species is their abilities to
interact. To communicate with others, humans invented languages as units. There
are 6500 Languages in this world for people of ...
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 ...
MEDNET – an approach to facial micro-emotion recognition using pixel binning and local Binary pattern - convolutional neural network
(Brac University, 2023-09)
Facial-Expression recognition is a very intriguing field of research, due to the complexity
in its approach and applicability of widely available databases. However,
Micro-expression recognition is quite a vague yet ...
Towards devising an effective and reliable means of fish detection and classification through the exploration of various deep learning algorithms
(Brac University, 2022-01)
Due to a number of reasons, marine ecosystems change with certain species of fish
disappearing while novel species of fishes become a new staple within a given ecosystem,
e.g., a lake, river, etc. Monitoring these changes ...
Utilizing deep learning architectures for early detection of lung diseases in chest X-ray images
(Brac University, 2023)
"COVID-19 and viral Pneumonia are types of lung disease that are highly infectious, and have
a tendency of causing an outbreak, that then puts stress on the healthcare sector. When the
COVID-19 pandemic first began there ...
Comparative analysis of neural network Models for peripheral blood cell image classification
(Brac University, 2023-09)
It’s quite difficult to fathom that the future of medicine and diagnosis is more
dependent on, and much more likely to be dictated by the growth of technology
than the quality of doctors. One of the deadliest diseases ...