Statistical Shape and Deformation Analysis
Methods, Implementation and Applications| By: | Guoyan Zheng; Shuo Li; Gabor Szekely |
| Publisher: | Elsevier S & T |
| Print ISBN: | 9780128104934 |
| eText ISBN: | 9780128104941 |
| Edition: | 0 |
| Copyright: | 2017 |
| Format: | Reflowable |
eBook Features
Instant Access
Purchase and read your book immediately
Read Offline
Access your eTextbook anytime and anywhere
Study Tools
Built-in study tools like highlights and more
Read Aloud
Listen and follow along as Bookshelf reads to you
Statistical Shape and Deformation Analysis: Methods, Implementation and Applications contributes enormously to solving different problems in patient care and physical anthropology, ranging from improved automatic registration and segmentation in medical image computing to the study of genetics, evolution and comparative form in physical anthropology and biology.
This book gives a clear description of the concepts, methods, algorithms and techniques developed over the last three decades that is followed by examples of their implementation using open source software.
Applications of statistical shape and deformation analysis are given for a wide variety of fields, including biometry, anthropology, medical image analysis and clinical practice.
- Presents an accessible introduction to the basic concepts, methods, algorithms and techniques in statistical shape and deformation analysis
- Includes implementation examples using open source software
- Covers real-life applications of statistical shape and deformation analysis methods