Browsing by Subject "VGG-19"
Now showing items 1-6 of 6
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Brain hemorrhage detection using hybrid machine learning algorithm
(Brac University, 2022-01)Machine learning (ML) helps computers learn and program data without humans’ help. According to data scientists, machine learning can extract 60% high-quality information, reduce the cost up to 46%, and increase operation ... -
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 approach to detect melanoma skin cancer using a custom CNN model
(Brac University, 2022-09-28)Despite only making up 1% of all occurrences of skin cancer, melanoma is one of the most prevalent forms to cause fatalities in recent years. Melanoma has a survival rate of more than 50% from the early stages to the ... -
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 ... -
An interpretable deep learning approach to detect Alzheimer using MRI images
(Brac University, 2023-01)Alzheimer’s disease (AD) is a serious neurological condition that causes loss of long term memory, cognitive difficulties, disorientation, inconsistent behavior, and even tually death. Also, AD is caused by the destruction ... -
Smoke detection using deep Convolutional neural network
(Brac University, 2019-08)In a densely populated country like Bangladesh, fire accidents have become a fre- quent disaster that primarily be formed as a consequence of unconsciousness among the people. Therefore, detection of smoke, is a must in ...
