×
  • Select the area you would like to search.
  • ACTIVE INVESTIGATIONS Search for current projects using the investigator's name, institution, or keywords.
  • EXPERTS KNOWLEDGE BASE Enter keywords to search a list of questions and answers received and processed by the ADNI team.
  • ADNI PDFS Search any ADNI publication pdf by author, keyword, or PMID. Use an asterisk only to view all pdfs.
Principal Investigator  
Principal Investigator's Name: mustafa jumaili
Institution: karabuk university
Department: college of engineer
Country:
Proposed Analysis: The proposed research aims to enable the smart detection of AD based on deep neural learning techniques to analyse the classification of brain MRI image scans. precisely, this research focuses on using deep learning algorithms to build an intelligent model for clinicians in the early diagnosis the AD diseases degree based on classification techniques. The main objectives of the proposed research to achieve the mentioned aim are as follows: 1. To evaluate the performance of identified deep learning designed model, for detecting Alzheimer’s disease degree using MRI images dataset. 2. Improving the performance in detecting Alzheimer’s disease, with highly sophisticated algorithms in the AI field is a deep learning technique. 3. To validate the proposed improvement for the detection of Alzheimer’s disease by comparison with the representational techniques in the field of deep learning using MRI images dataset.
Additional Investigators