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Now showing items 61-70 of 76
Exploring Alzheimer's disease prediction with XAI in various neural network models
(Brac University, 2021-10)
Using a number of Neural Network Models, we attempt to explore and explain the
prediction of Alzheimer's in patients in various stages of the disease, using MRI
imaging data. Alzheimer's disease(AD) often described as ...
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 ...
Handwritten character recognition using neural network
(Brac University, 2020-04)
Handwritten character recognition is a process of a system to access handwritten material from various sources such as paper records, photographs, touch screen apps, etc. The identification of handwritten and electronic ...
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 ...
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 ...