Medical Image Synthesis: Methods and Clinical Applications by Xiaofeng Yang is a comprehensive resource that delves into the principles and methods of medical image synthesis, along with state-of-the-art research. This edition emphasizes various traditional non-learning-based, traditional machine-learning-based, and recent deep-learning-based medical image synthesis methods.
 
By integrating robust research, evidence-based practices, and compelling narratives, the text fosters a deeper understanding of topics such as inter- and intra-modality image synthesis tasks, synthetic image-aided segmentation and registration, and clinical usages like treatment planning and image-guided adaptive radiotherapy. It is an invaluable resource for undergraduates, graduates, researchers, and practitioners seeking to enhance their knowledge in medical image synthesis.
 
This high-quality PDF eBook features a professional design and interactive content, allowing you to easily navigate between chapters and sections through clickable links.
 
Medical Image Synthesis: Methods and Clinical Applications by Xiaofeng Yang, published by CRC Press in 2024, is available in interactive PDF format, with Print ISBN: 1032152842 and eTextbook ISBN: 9781032152844. This first edition is categorized under Medical / Diagnostic Imaging, making it an invaluable asset for those aiming to excel in medical image synthesis. Purchase this eBook and save up to 80% at Ebookworm.
 
About the Author(s):
 
Xiaofeng Yang: Xiaofeng Yang received B.S., M.S., and Ph.D. degrees in biomedical engineering from Xi’an Jiaotong University, China. He completed his Ph.D. training and thesis at Emory University, followed by postdoctoral and medical physics residency training at the Department of Radiation Oncology, Emory University School of Medicine, where he is currently an Associate Professor. Dr. Yang is a board-certified medical physicist with expertise in image-guided radiotherapy, deep learning, and multimodality medical imaging, as well as medical image analysis. He has published over 180 peer-reviewed journal papers and has received numerous scientific awards.