Deep Learning-based Pipeline to Recognize Alzheimer′s Disease using fMRI Data
Abstract Over the past decade, machine learning techniques and in particular predictive modeling and pattern recognition in biomedical sciences, from drug delivery systems to medical imaging, have become one of the most important methods of assisting researchers in gaining a deeper understanding of issues in their entirety and solving complex medical problems. Deep learning is a powerful machine learning algorithm in classification that extracts low- to high-level features. In this paper, we employ a convolutional neural network to distinguish an Alzheimer′s brain from a normal, healthy brain. The importance of classifying this type of medical data lies in its potential to develop a predictive model or system in order to recognize the symptoms of Alzheimer′s disease when compared with normal subjects and to estimate the stages of the disease. Classification…
Link to Full Article: Deep Learning-based Pipeline to Recognize Alzheimer′s Disease using fMRI Data
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