Pathological Brain Detection [Hardcover]

This book provides detailed practical guidelines on how to develop an efficient pathological brain detection system, reflecting the latest advances in the computer-aided diagnosis of structural magnetic resonance brain images. Matlab codes are provided for most of the functions described. In addition, the book equips readers to easily develop the pathological brain detection system further on their own and apply the technologies to other research fields, such as Alzheimers detection, multiple sclerosis detection, etc. 

1 Basics of Pathological Brain Detection (PBD).- 2 Neuroimaging Modalities: Strengths and Weaknesses.- 3 Image Preprocessing for Pathological Brain Detection: A Summary.- 4 Canonical Feature Extraction Methods for Structural Magnetic Resonance Imaging.- 5 Multi-scale and Multi-resolution Features for Structural Magnetic Resonance Imaging.- 6 Dimensionality Reduction of Brain Image Features.- 7 Classification Methods for Pathological Brain Detection.- 8 Weight Optimization of Classifiers for Pathological Brain Detection.- 9 Comparison of Current PBD Systems.

Dr. Shui-Hua Wang received her B.S. degree from Southeast University in 2008 and an M.S. from the City University of New York in 2012. She received her Ph.D. from Nanjing University in 2016. She is currently an assistant professor at Nanjing Normal University, and a visiting researcher in University of Leicester, UK. She serves as the editor of Journal of Alzheimers disease. In the past, she served as the guest lead editor of International Journal of Biomedical Imaging and Multimedia Tools and Application.

 

Prof. Dr. Yu-Dong Zhang received his B.S. and M.S. degrees from Nanjing University of Aeronautics and Astronautics in 2004 and 2007. He received his Ph.D. degree in Signal and Il#,