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: | Afnan Alhassan |
Institution: | Shaqra University |
Department: | College of Computing and Information Technology, S |
Country: | |
Proposed Analysis: | The main contribution of the work is twofold. One is utilizing EFEHO in the recommended technique to seek the optimal segmentation threshold for OTSU method. Second, Dual Attention Multi-Instance Deep Learning Network (DA-MIDL) is recommended for the timely diagnosis of AD and its prodromal phase Mild Cognitive Impairment (MCI). Tests show that the technique converges faster and takes less time than the classic OTSU approach without reducing segmentation performance. The study develops a valuable tool for quick picture segmentation with good real-time efficiency. Compared to numerous conventional techniques, the suggested study attains improved categorization performance regarding accuracy and transferability. |
Additional Investigators |