Browsing by Subject "Convolutional neural network"
Now showing items 1-20 of 45
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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 ... -
Affordable voice assistive intelligent glass for visually impaired people in perspective of Bangladesh
(Brac University, 2021-06)This paper describes design of affordable intelligent glass for visually impaired. A significant number of people are visually impaired or blind among the total population of Bangladesh. Most of them relied on others ... -
Application of deep convolutional neural network in breast cancer prediction using Digital Mammograms
(Brac University, 2022-01)Cancer, a diagnosis so dreaded and scary, that its fear alone can strike even the strongest of souls. The disease is often thought of as untreatable and unbearably painful, with usually, no cure available. Among all the ... -
Artificial intelligence in nephrology: detecting chronic kidney disease using neural network
(Brac University, 2024-05)Chronic kidney disease (CKD) is a significant global health concern, impacting more than 800 million people globally. Prompt identification and precise categorization are crucial for optimal therapy. The primary objective ... -
Automated detection of Malignant Lesions in the ovary using deep learning models and XAI
(Brac University, 2024-01)Cancer is a complex and highly invasive disease that forms due to the abnormal growth of cells in any part of the body. A majority of cancers are unraveled and treated by incorporating advanced technology. However, ovarian ... -
Best feature selection and data visualization for breast cancer prediction
(Brac University, 2019-09)Breast cancer (BC) is one of the most common cancers among women worldwide, representing the majority of new cancer cases and cancer-related deaths according to global statistics, making it a signifcant public health ... -
Classification of peripheral blood cell images using deep learning
(Brac University, 2023-01)Diagnosis and Identification of cells and disease infected cells are and important part of in medical science that bears huge significance even today. There are health implications can often be identified my observing ... -
Classification of retinal diseases from OCT images using deep learning models
(Brac University, 2024-01)Retina is an important part of our vision, but it can easily get affected and create various vision problems like vision loss and others. According to the statistics provided by The World Health Organization, it is ... -
Crime scene prediction by detecting threatening objects using convolutional neural network
(BRAC University, 4/13/2017)Crime scene prediction without human intervention can have outstanding impact on computer vision. In this paper, we present CNN in the use of detect knife, blood and gun in order to reach a prediction whether a crime has ... -
A deep learning application for real-time debris detection: underwater environment
(Brac University, 2023-12)Recognizing the significance of accurately measuring and removing underwater waste is vital for safeguarding marine ecosystems and the environment. Measuring underwater waste is challenging due to factors like light ... -
A deep learning approach for pneumonia classification from chest X-Ray images with ensemble modelling and explainable AI
(Brac University, 2021-06-08)Pneumonia is one of those frightening diseases that has a high mortality rate among children and the elderly, with an estimated 2 million fatalities per year. Pneumonia affects the poorest people in Africa and Asia the most, ... -
A deep learning approach for prediction of ADHD using brain structure
(Brac University, 2023-09)Attention deficit hyperactivity disorder (ADHD) is a complex condition affecting the brain’s neurodevelopmental processes. Prompt treatment and accurate diagnosis can alter neural connections and improve symptoms. This ... -
Deep learning based automated diagnosis of Ocular Toxoplasmosis in fundus images using convolutional neural network
(Brac University, 2024-01)Ocular toxoplasmosis (OT) is often diagnosed by a specialist by the examination of fundus images of the eye. While deep learning is commonly used to process and identify diseases in medical images, ocular toxoplasmosis ... -
Deep learning based early Glaucoma detection
(Brac University, 2024-01)Glaucoma is a severe eye condition that can lead to progressive vision impairment if left untreated. Diagnosis and monitoring of glaucoma at an initial stage is critical for effective treatment of the disease. However, ... -
Deep learning-based hybrid multi-task model for adrenocortical carcinoma segmentation and classification
(Brac University, 2024-01)Adrenocortical Carcinoma (ACC) is a rare but highly lethal cancer that occurs in the adrenal cortex. Accurate diagnosis of ACC are vital in order to determine appropriate treatment strategies and predict patient outcomes. ... -
Deepfake detection in videos detecting face wrapping artifacts with convolutional neural network
(Brac University, 2021-01)Alteration of video les by changing the face of a person on frame is Deepfake. In such manipulated contents a person's face is used on a video performing or saying something that they never actually said or did. Deepfake ... -
Detecting different stages of Alzheimer’s disease from MRI images using deep learning and computer vision techniques
(Brac University, 2024-01)The preliminary and precise diagnosis of Alzheimer’s Disease is significant for the speedy management and intervention of the disorder. Numerous valuable tools such as Magnetic Resonance Imaging (MRI), Positron Emission ... -
Detection and classification of Mango Leaf diseases utilizing convolutional neural network models
(Brac University, 2024-05)Plant diseases, particularly those affecting crop plants, pose a significant danger to world food security by compromising the quality and yield of agricultural produce. Mango leaf disease is one such example. Mango leaf ... -
Detection and recognition of Bangladeshi fishes using surf features and CNN classifier
(Brac University, 2018-07)This thesis proposes the detection and recognition of Bangladeshi local fishes using image processing. In the proposed model, we have successfully detected fishes using grass-fire algorithm along with other methods like ... -
Detection of handwritten text using convolutional neural network
(Brac University, 2019-04)Machine replication of human functions, like reading, is an ancient dream. However, over the last five decades, machine reading has grown from a dream to reality. We have tried to make it more obvious through a hand ...
