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Retinal Diseases Detection using Deep Learning
(Brac University, 2022-09)
Retina is an important aspect of human vision because it converts light rays into
images and sends messages to the brain. We run the danger of suffering long-term
harm to the eyesight if we have a problem with our retina ...
Deep Learning based Medicinal Plants Leaf Recognition
(Brac University, 2022-09)
Plants assume a significant part in Earth’s nature by giving food, cover and keeping
a solid environment.These plants contain some significant therapeutic qualities. Due
to having fewer negative side effects and being ...
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 ...
An improved deepfake detection using deep learning
(Brac University, 2022-09-28)
With the emergence of Generative Models for creating Deepfake images, and videos
of high quality, which are extremely realistic and hard to recognize, several social,
and political issues have come to light. DeepFakes ...
Accurate analysis of mood detection using eye-images rather than facial expression recognition (FER)
(Brac University, 2022-06-05)
There are several works on mood detection by machine learning from physical and neuro- physical data of people, along with works on emotion recognition using eye-tracking. We want to show that a person’s mood can be detected ...
Lung cancer detection and classification using machine learning
(Brac University, 2023-05)
Lung cancer is a term known to all nowadays. This disease grows in the lung tissues
and starts to spread with time. The cells responsible for air passage are corrupted
by it. It can happen because of air pollution. When ...
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 ...
Identifying brain abnormalities using image processing and CNN models
(Brac University, 2021-06)
In a developing country like Bangladesh, it is tough to detect a brain abnormality, i.e., Pituitary tumor, Glioma, Meningioma, etc., in an early stage and treat them accordingly. In our proposed system, ML(Machine Learning) ...
Machine fault diagnosis using a modified transferable CNN
(Brac University, 2023-07)
Detecting prior bearing faults is an essential task of machine health monitoring because bearings are the crucial parts of rotating machines. The performance of traditional intelligent fault diagnosis methods depends on ...
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 ...