Browsing by Subject "ResNet50"
Now showing items 1-20 of 21
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Approaching transfer learning to identify correctly worn facial masks
(Brac University, 2021-06)Climate change has made the outbreak of diseases, especially airborne and contagious diseases much more extreme. Therefore, wearing masks has become essential in protecting ourselves not only from very common airborne ... -
Bone age comparison using convolutional neural network
(BRAC University, 2019-04)In the last few years,Machine Learning has taken the world by storm. From predictive web browsing to the email and text classi cation,from the autonomous car to facial recognition, machine learning is the main core of ... -
CancerCare: A reliable and secured self-supervising and interactive system using deep learning
(Brac University, 2023-01)Cancer is the ultimate global health issue in the 21st century, as its burden is in creasing day by day. In the year 2020 [36], 18.1 million cancer cases were estimated, where 9.3 million were men and 8.8 million were ... -
Covid-19 infected lung detection using machine learning
(Brac University, 2021-01)In every 100 years, there has been a pandemic all around the world. The globe faced Plague, Cholera, and Spanish Flu in the years 1720, 1820, and 1920, respectively. Coronavirus, commonly known as Covid-19, is currently ... -
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, ... -
Detecting brain tumor using deep neural networks from MRI images
(Brac University, 2021-06)A brain tumor is a collection of abnormal cells growth in brain. It is a neurological disease which causes great damage and affects other healthy cells of brain. It can be cancerous or non-cancerous. Nowadays, people are ... -
Detection of intracranial hemorrhage on CT scan images using convolutional neural network
(Brac University, 2021-09)Intracranial hemorrhage is an acute bleeding within the skull which can damage the brain tissue and can eventually lead to disability or even death. It is a serious medical condition that occurs when blood is built up ... -
Detection of pneumonia from chest X-ray images using machine learning
(Brac University, 2023-05)A bacterial infection is the cause of the lung condition known as pneumonia. An essential component of a successful treatment procedure is early diagnosis. Without early diagnosis, pneumonia can be severe or even can cause ... -
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 ... -
An efficient face recognition model using multiple angular images and deep neural network architecture
(Brac University, 2023-01)Face surface information in three dimensions is one of the promising biometric modality that can improve the identification and increase the accuracy of verification of face recognition systems in challenging situations.This ... -
Homomorphic encryption on deep learning in accurate prediction of brain tumour
(Brac University, 2023-01)The brain is the most complicated organ that manages every bodily function as well including intellect, memory, emotion, taste, motor skills, vision, respiration, temperature, and appetite. Any type of disease or damage ... -
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) ... -
Interpretable COVID-19 classification leveraging ensemble neural network and explainable AI
(Brac University, 2021-06)COVID-19 which is also none as Corona Virus Disease is rst discovered in a city of China named Wuhan at December 2019 and it has been announced as a global pandemic at the middle of 2020. SARS-CoV-2 virus COVID-19 and ... -
Kidney Disease detection and classification from CT Images using Watershed Segmentation and Deep Learning.
(Brac University, 2022-09)Chronic kidney disease, often called chronic kidney failure, is a steady decline of renal function. Some of the most common reasons for kidney failure are cyst, stone and tumor. There may be no symptoms of chronic renal ... -
Non-clinical Covid19 diagnosis on CT-scan, Chest X-ray, and respiratory patterns using deep-learning and signal processing
(Brac University, 2023-01)Despite various preventative measures and therapies, the COVID-19 pandemic has exposed a number of weaknesses and vulnerabilities in global health systems, particularly in low and middle-income countries that may have ... -
Prediction of glaucoma from fundus images leveraging transfer learning in deep neural network
(Brac University, 2020-06)Transfer learning techniques in deep learning is nowadays a raising and promising field of research and a tool for Artificial Intelligence with a lot of prospects. Our goal is to predict Glaucoma from fundus images to help ... -
Skin lesion classification using different CNN models
(Brac University, 2023-05)The field of dermatoscopic image classification has gained significant attention as there is a growing demand for early diagnosis of specific diseases. The use of deep learning is increasingly significant in the quest ... -
Speech command classification based on deep neural networks
(Brac University, 2023-03)In our day-to-day life there are lots of sounds that we are processing. To process these sounds our brain absorb sound signals and provide us informative knowledge. For human being this is not possible to extract every ... -
Two dimensional convolutional neural network CNN approach for detection of Bangla sign language
(Brac University, 2022-09-22)Sign language is known as the primary communication medium for deaf and mute people. But the lack of available resources and a steep learning curve deter the average person from learning it making communication with the ... -
Unmasking malignancy of lung nodule using a modernized ConvNet toward the design of a vision transformer
(Brac University, 2022-05)One of the most devastating cancers in the world is lung cancer. It is estimated that nearly a third of the world’s cancer fatalities are due to lung cancer. Diagnosis and treatment of primary and metastatic cancers ...