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Principal Investigator  
Principal Investigator's Name: Lúcio Flávio de Jesus Silva
Institution: State University of Maranhão
Department: Master in Computer and Systems Engineering
Country:
Proposed Analysis: Assistance in the diagnosis of Alzheimer's disease based on functional magnetic resonance imaging data using Deep Learning in Artificial Neural Networks. 1. Objectives The overall objective of this project is to develop an automated solution that assists in the diagnosis of Alzheimer's Disease (AD) and also provides a means to track the progress of the disease. The solution will be based on features extracted from data acquired from functional magnetic resonance imaging (fMRI). The specific objectives of this project are: - Conduct a literature review on Artificial Neural Networks, Deep Learning and Magnetic Resonance and its variations; - Study and implement means for fMRI data preprocessing; - Identify and extract characteristics from fMRI data; - Select attributes to increase recognition accuracy; - Develop a system capable of being trained with this data and perform the classification using Deep Learning in Artificial Neural Networks. 2. Goals The main goal is that the proposed AD recognition system can be summarized in two processes, system training and hands-on testing. The training will mainly build the system based on data design and training. The test is expected to provide a recognition result based on the current input data. In particular, the recognition algorithm will start using fMRI data as input, preprocess the data to increase recognition accuracy, and then complete recognition using deep learning in artificial neural networks.
Additional Investigators