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: | HARIKA DASARI |
| Institution: | KAKATIYA INSTITUTE OF TECHNOLOGY AND SCIENCE |
| Department: | computer science engineering |
| Country: | |
| Proposed Analysis: | Detecting Alzheimer’s is a difficult and time-consuming task, but requires brain imaging report and human expertise. And the conventional approach to detect Alzheimer’s is costly and often error prone. So that, an alternative approach to detect Alzheimer’s which is fast, costs less and more reliable by using a faster Region-based Convolutional Neural Network Brain MRI data provides a wealth of information about the brain structure and can be used for accurate detection of AD and dementia. The Faster R-CNN (Region-based Convolutional Neural Network) method is a popular deep learning algorithm used for object detection tasks.and we classifying multi-classification of alzheimers int non-dementia,mild dementia,very mild,moderate dementia.so for this project we need multi-classified mri scan data sets. |
| Additional Investigators | |
| Investigator's Name: | sri chandana |
| Proposed Analysis: | Detecting Alzheimer’s is a difficult and time-consuming task, but requires brain imaging report and human expertise. And the conventional approach to detect Alzheimer’s is costly and often error prone. So that, an alternative approach to detect Alzheimer’s which is fast, costs less and more reliable by using a faster Region-based Convolutional Neural Network Brain MRI data provides a wealth of information about the brain structure and can be used for accurate detection of AD and dementia. The Faster R-CNN (Region-based Convolutional Neural Network) method is a popular deep learning algorithm used for object detection tasks. |
