Browsing by Subject "Image processing."
Now showing items 1-10 of 10
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Analyzing the security differential privacy provides and the trade-off between performance and privacy in medical image classification
(Brac University, 2024-05)One of machine learning’s main purposes is to draw out functional and practical information from a set of data while perpetuating the entire privacy by protecting all information. While it might seem a bit hard to maintain, ... -
Bengali hand sign language recognition using convolutional neural networks
(BRAC University, 2019-04)Throughout the world the number of deaf and mute population is rising ever so increasingly. In particular Bangladesh has around 2.6 million individuals who aren't able to communicate with society using spoken language. ... -
Deep learning based medical X-ray image recognition and classification
(BRAC University, 2018-12)Analysis of radiology images are mostly being done by medical specialists, as it is a critical sector and people expect highest level of care and service regardless of cost. Though, it is quite limited due to its complexity ... -
Depression classification with MDD (Major Depressive Disorder) using signal processing and machine learning
(Brac University, 2020-04)Depression is accorded as one of the leading causes to all the problems related to mental health in the Global disease burden study (GBD). Major depressive disorder (MDD) is when this depression reaches to a larger extent, ... -
Detection of pulmonary diseases from chest X-ray images using deep learning model
(BRAC University, 2024-10)Deep learning models are important in efficiently identifying different pulmonary diseases from Chest X-ray Images (CXRs). Pneumonia is one of the most common lung diseases that cause death. Especially, stage 4 pneumonia ... -
An efficient approach for recyclable waste detection and classification using image processing techniques
(Brac University, 2023-01)One of the world’s most pressing issues right now is the lack of a competent waste management system, particularly in emerging and underdeveloped countries. Re cycling solid waste, which comprises numerous dangerous ... -
An efficient deep learning-based approach for Glioblastoma detection from MRI images
(BRAC University, 2024-10)In essence, an abnormal increase of brain cells is referred to as a brain tumor. Tumors come in two varieties: benign (non-cancerous) and malignant (cancerous). Cancerous tumors can originate in the brain itself (Primary) ... -
Enhanced CNN approaches for multi-image embedding in image steganography
(Brac University, 2024-05)In today’s world of information and communication tools, data security is critical for information diffusion. With the growth of extensive multimedia sharing and secret discussions, data concealment has become increasingly ... -
Image processing and deep learning for space telescope images: an exploratory data analysis approach
(BRAC University, 2024-01)Exposing patterns in cosmic affairs from space telescope images is performed by a strong methodology configured by Exploratory Data Analysis (EDA) and advanced image processing techniques. This research utilizes machine ... -
Leveraging deep learning algorithms for the timely detection of diseases in bean leaves
(Brac University, 2024-01)In sub-Saharan Africa, where agriculture is a major commercial activity, the security of staple crops like beans is threatened by persistent diseases, notably bean rust and angular leaf spot. Uromyces appendiculatus, the ...
