There are many active research projects accessing and applying shared ADNI data. Use the search above to find specific research focuses on the active ADNI investigations. This information is requested annually as a requirement for data access.
Principal Investigator | |
Principal Investigator's Name: | Tisha Chawla |
Institution: | Vellore Instittute of Technology |
Department: | Computer Sciece |
Country: | |
Proposed Analysis: | Some cognitive abilities, such as speech, thinking, and movement, may be lost as a result of brain abnormalities. Alzheimer's disease (AD), a degenerative form of dementia, is linked to advancing age. Manual diagnosis of brain abnormalities is time-consuming and challenging, especially in the early stages of abnormalities, because minute changes in MRI pictures are difficult to detect. Choosing the right features and classifiers to achieve the best results is a difficult undertaking. As a result, deep learning models have become increasingly popular in medical picture analysis in recent years. We aim to employ Convolutional Neural Network and Genetic Algorithm to classify the severity of Alzheimer's Attack |
Additional Investigators | |
Investigator's Name: | Shubh Mittal |
Proposed Analysis: | Some cognitive abilities, such as speech, thinking, and movement, may be lost as a result of brain abnormalities. Alzheimer's disease (AD), a degenerative form of dementia, is linked to advancing age. Manual diagnosis of brain abnormalities is time-consuming and challenging, especially in the early stages of abnormalities, because minute changes in MRI pictures are difficult to detect. Choosing the right features and classifiers to achieve the best results is a difficult undertaking. As a result, deep learning models have become increasingly popular in medical picture analysis in recent years. In this study, we will employ Convolutional Neural Network with Genetic Algorithm to classify the severity of Alzheimer's Attack. |