Browsing by Subject "X-ray"
Now showing items 1-5 of 5
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Comparative study of X-ray and CT scan images for the detection of COVID-19 using deep learning
(Brac University, 2015-08)Coronavirus 2019 (in short, COVID-19), originated in the Wuhan province of China in December 2019, has been declared a global pandemic by WHO in March 2020. Since its inception, it’s rapid spread among nations had initially ... -
Deep neural network models for COVID-19 diagnosis from CT-Scan, explainability and analysis using trained models
(Brac University, 2021-10)The world is going through a severe viral pandemic which is caused by COVID- 19. People infected with this virus, experience severe respiratory illness. The virus spreads through particles of saliva or droplets from an ... -
A new approach for processing X-ray data for detecting mini-halos in galaxy clusters
(Brac University, 2021-06)Galaxy clusters, which may contain hundreds or thousands of galaxies, are the biggest gravitationally bound objects in the universe. These clusters are filled with heated X-ray emitting plasma. Radio mini-halos are radio ... -
Semantic segmentation with attention dense U-net for lung extraction from X-ray images
(Brac University, 2023-03)"In the diverse field of computer science, deep learning and digital image processing plays a vital role in medical image research. With a deep knowledge on hand, we can make a machine understand any medical documentation, ... -
X-Ray (2D) and CT-scanned (3D) image matching for person identification
(BRAC University, 8/21/2017)Development in medical science has created a vast research area in medical image processing. Superimposition of different type of diagnostic images like X-ray, CT scan, MRI scan which provide accuracy in identification of ...
