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X-Ray classification to detect COVID-19 using ensemble model
(Brac University, 2021-06)
Diagnosis with X-Rays and other forms of medical images has soared to new heights
as an alternative visual Covid infection detector. Radiographic images, primarily
CT scans and X-Rays images play massive roles in assisting ...
Automatic brain tumor segmentation using U-ResUNet chain model approach
(Brac University, 2021-09)
Identifying brain tumors precisely within the early stage is still a challenging problem
for the medical sector consistent with recent research. In a previous research
approved by Cancer. Net Editorial Board, it was ...
Prostate cancer detection using deep learning neural network with transfer learning approach
(Brac University, 2021-10)
Prostate cancer is a ubiquitous form of cancer detected among men all over the
world. It is currently the second leading cause of cancer death worldwide among
men. Research shows that about 11% of men worldwide are ...
A color vision approach considering Reflection Co efficient based on Autoencoder techniques using deep neural networks
(Brac University, 2021-09)
Color vision approach using auto encoded technique is an effective way to detect
objects. This approach considers various factors like movement detection, size and
shape detection, color detection etc. Here we have ...
Detecting Deepfake images using deep convolutional neural network
(Brac University, 2021-09)
In recent years, advancement in the realm of machine learning has introduced a
feature known as Deepfake pictures, which allows users to substitute a genuine face
with a fake one that seems real. As a result, distinguishing ...