Browsing by Subject "MRI"
Now showing items 1-6 of 6
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Alzheimer’s Disease detection and classification using transfer learning techniques and ensembling operations on convolutional neural networks
(Brac University, 2021-01)Alzheimer’s disease (AD) is a neurological disease that affects the healthy cells of the brain and results in people having long-term memory loss, thinking problems, disorientation, behavioral inconsistencies and finally ... -
Automatic slice growing method based 3D reconstruction of liver with its vessels
(© 2014 Institute of Electrical and Electronics Engineers Inc., 2014)In the recent years, reconstructing 3D liver and its vessels from abdominal CT volume images becomes an inevitable and necessary research field. In this paper, a method of 3D reconstruction of liver with its vessels has ... -
Detection of alzheimer's disease using deep learning
(Brac University, 2019-12)Machine Learning has been on top of its form over the last few years. It covers a vast area of predictive web browsing, email and text classification, object detection, face recognition etc. Among all of the other ... -
Detection of Parkinson’s disease from Neuro-imagery using deep neural network with transfer learning
(Brac University, 2020-04)Parkinson’s disease is a neurological condition that is dynamic and steadily influences the movement of the human body. It causes issues within the brain and slowly increments time by time. Tremor is the major side effect ... -
Multi-classification based Alzheimer's disease detection with comparative analysis from brain MRI scans using deep learning
(Brac University, 2021-10)The neurodegenerative Alzheimer's Disease is the most widely recognized cause of `Dementia' and was allegedly the 7th highest cause of death globally. Nevertheless, there is still no conclusive test for distinguishing ... -
Semantic segmentation of tumor from 3D Structural MRI using U-Net Autoencoder
(Brac University, 2020-03)Automated semantic segmentation of brain tumors from 3D MRI images plays a significant role in medical image processing. Early detection of these brain tumors is highly requisite for the treatment, screening, diagnosis ...
