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: | Zahra Taghizadeh Marvast |
| Institution: | Islamic Azad University |
| Department: | Computer and Electronics |
| Country: | |
| Proposed Analysis: | Early detection is critical for effective management of Alzheimer’s disease (AD) and screening for mild cognitive impairment (MCI) is common practice. Mild cognitive impairment (MCI) is the prodromal stage of Alzheimer’s disease (AD). Identifying MCI subjects who are at high risk of converting to AD is crucial for effective Treatments. This paper proposes a method to segmantion and classification for predict MCI and AD from a large MRI dataset of normal and diseased subjects. . In this study use a ensemble_deeplerning model for segmention and clasifiction in MRI image . this struction consists of U-net network And CNN network and SVM To get a better result. , the proposed method provides a valid clinical and research tool that performs similarly to the human observer. |
| Additional Investigators |
