This book provides detailed practical applications of AI algorithms and illustrates how these algorithms can be used to improve the quality and efficiency for the diagnosis and treatment of brain gliomas. This book proposes an innovative framework of “fusion segmentation” collaborative optimization, aiming at the difficult cross-modal feature extraction and insufficient sensitivity to heterogeneous imaging in multimodal image fusion and segmentation is proposed in this book, which will also provide valuable reference for medical workers and graduate students. Researchers, engineers, and graduate students in the fields of medical management and software engineering constitute the primary readership.

This book is tailored to meet the information needs of professionals and students seeking in-depth insights into the intersection of medical management and software engineering.

Shuli Guo is a full professor of Beijing Institute of Technology, the head of China geriatric disease standardized diagnosis and treatment society of CAGG, and a member of Chinese national technical committee for professional standardization. He was born in 1973 in Inner Mongolia, P.R. China. He received his bachelor’s degree (1995) and master’s degree (1998) from Inner Mongolia Normal University and his Ph.D. degree from Peking University (2001), and worked as a postdoctoral researcher from January 2002 to April 2004 at Tsinghua University, as a researcher fellow from January 2008 to September 2008 at Akita Prefectural University, and as a postdoctoral researcher from September 2008 to September 2009 at Oxford University. His research interests include medical image/data analysis, typical chronic disease analysis, and remote health monitoring. Recently, he has chaired 7 Chinese national standards and 5 Chinese industrial standards, more than 80 impactful papers, 7 monographs, 55 authorized Chinese patents, and 23 authorized software copyrights. He obtained the second prize for Beijing Municipal Government, the third prize for military medical achievements, the third prize of science and technology of the Chinese Medical Association, and the third prize of Beijing Medical Science and Technology.

Lina Han is a research fellow in the Department of Cardiovascular Internal Medicine, the Second Medicine Center of Chinese PLA General Hospital, and Chinese PLA Medical School. She was born in 1973 in Jilin Province, P.R. China. She received her bachelor’s degree in medicine (1995), master’s degree in medicine (2000), and Ph.D. degree (2003) from Jilin University. She worked as a postdoctoral researcher from July 2003 to April 2005 at Chinese PLA General Hospital and as a research fellow from August 2008 to September 2009 at Kyoto University. Her research interests focus on many 3D modeling on cardiovascular systems, digital and intelligent management on chronic diseases and comorbidities in the elderly, and their medical solutions. Recently, she has published more than 100 impactful papers, 8 monographs, 50 authorized Chinese patents, 25 authorized software copyrights, and 7 Chinese national standards and 5 Chinese industrial standards. She obtained the first prize for Hainan Municipal Government, the second prize for Beijing Municipal Government, the first prize for military medical achievements, etc.