| 个人简介 | |
|---|---|
 Suhuai Luo Nanjing University of Posts and Telecommunications |
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| 标题： Automatic Alzheimer’s Disease Recognition from MRI data Using Deep Learning Method | |
| 摘要： Alzheimer’s Disease (AD), the most common form of dementia, is an incurable neurological condition that results in a progressive mental deterioration. Although definitive diagnosis of AD is difficult, in practice, AD diagnosis is largely based on clinical history and neuropsychological data including magnetic resource imaging (MRI). Increasing research has been reported on applying machine learning to AD recognition in recent years. This paper presents our latest contribution to the advance. It describes an automatic AD recognition algorithm that is based on deep learning on 3D brain MRI. The algorithm uses a convolutional neural network (CNN) to fulfil AD recognition. It is unique in that the three dimentional topology of brain is considered as a whole in AD recognition, resulting an accurate recognition. The CNN used in this study consists of three consecutive groups of processing layers, two fully connected layer and a classification layer. In the structure, every one of the three groups is made up of three layers, including a convolutional layer, a pooling layer and a normalization layer. The algorithm was trained and tested using the MRI data from Alzheimer’s Disease Neuroimaging Initiative. The data used include the MRI scanning of about 47 AD patients and 34 normal controls. The experiment had shown that the proposed algorithm delivered an AD recognition accuracy of as high as nighty six percent. | |
| 简介： Dr Luo is a senior lecturer in information technology at the University of Newcastle. He received Bachelor and Master degrees from Nanjing University of Posts and Telecommunications, China, and PhD degree from the University of Sydney, Australia, all in Electrical Engineering. His main research interest is ininformation technology and multimedia, including image processing, computer vision, machine learning, cyber security and media data mining. His diverse research focus has led him to conduct studies in areas ranging from medical imaging for computer-aided diagnoses, to computer vision for intelligent driving system, and machine learning for enhancing cybersecurity. Dr Luo has successfully received many competitive national or regional grants including one ARC Linkage grant and one ARC Discovery grant. He also has vast industry experience, having worked as a senior research scientist at CSIRO in Australia, and at the Bioinformatics Institute at A*Star in Singapore. He has the ability and successful experience in devising projects and supervising team members. Dr Luo has published more than 145 journal and conference papers, and more than 35 confidential technical reports that are highly regarded by his former employers CSIRO Australia and A*Star Singapore as confidential intellectual property as well as a performance criterion. His work resulted in external earnings for those organizations. He has been a reviewer for various international conferences and peer-reviewed journals such as IEEE Transactions on Multimedia and IEEE Transactions on Information Technology in Biomedicine. Additionally, he has played various chair roles in more than 20 international conferences including The International Conference on Artificial Intelligence Science and Technology and 21st International Conference on MultiMediaModeling. Dr Luo has more than ten years’ experience in teaching in universities. He has lectured and developed curricula for more than 15 courses in computer science, electrical engineering, and information technology. He has supervised more than 30 honours and Masters students, and about 18 PhD students. | |
