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Now showing items 41-50 of 52
An efficient deep learning approach to detect COVID-19 infected lungs using image data
(Brac University, 2022-01)
The beginning of 2020 will always be a dreadful chapter in human history. Even
with all the recent advancements in the medical sector, the COVID-19 virus proved
to be a major challenge for doctors all over the world. The ...
An enhanced CNN model for classifying skin cancer
(Brac University, 2022-01)
Unrepaired deoxyribonucleic acid in skin cells causes skin cancer by generating genetic
abnormalities or mutations, rising day by day. Detecting and diagnosing skin
cancer in its early stages is expensive and challenging, ...
BanglaBait: using transformers, neural networks & statistical classifiers to detect clickbaits in New Bangla Clickbait Dataset
(Brac University, 2022-01)
The art of luring us to click on certain content by exploiting our curiosity is recognized
as clickbait. Clickbait might be aggravating at times because it is misleading.
Several studies have worked on the detection of ...
AVCL: Audio Video clustering for learning Conversation labeling using Neural Network and NLP
(Brac University, 2022-01)
Audiovisual data is the most extensively used and abundantly distributed type of
data on the internet in today’s information and communication age. However, the
necessary audiovisual data is challenging to retrieve because ...
Segmentation based Kidney Tumor Classification using Deep Neural Network
(Brac University, 2022-01)
Kidney disease is one of many severe chronic disease that a person can have. Early
detection of this disease can be pivotal for proper treatment. Different neural net works have proven to be useful in disease prediction ...
Lossless segmentation of Brain Tumors from MRI images using 3D U-Net
(Brac University, 2022-01)
2D computer vision and activities related to medical image analysis are remarkably
guided with the help of Convolutional Neural networks (CNNs) in recent years.
Since a chief portion in the available clinical imaging ...
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 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 ...