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|a 620.112
|2 23
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|a Statistical shape and deformation analysis :
|b methods, implementation and applications /
|c edited by Guoyan Zheng, Shuo Li, Gabor Sz�ekely.
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260 |
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|a London :
|b Academic Press,
|c �2017.
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300 |
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|a 1 online resource.
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|a Computer vision and pattern recognition series
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504 |
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|a Includes bibliographical references and index.
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520 |
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|a 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.
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700 |
1 |
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|a Zheng, Guoyan.
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700 |
1 |
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|a Li, Shuo,
|d 1974-
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700 |
1 |
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|a Sz�ekely, G�abor,
|d 1951-
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776 |
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8 |
|i Print version:
|z 0128104937
|z 9780128104934
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830 |
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|a Computer vision and pattern recognition series.
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856 |
4 |
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|z Texto completo
|