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Titlebook: Hip Sonography; Diagnosis and Manage Reinhard Graf Book 2006Latest edition Springer-Verlag Berlin Heidelberg 2006 classification.diagnosis.

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發(fā)表于 2025-3-21 17:10:30 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Hip Sonography
副標(biāo)題Diagnosis and Manage
編輯Reinhard Graf
視頻videohttp://file.papertrans.cn/428/427172/427172.mp4
概述Practice-oriented manual teaching the successful examination technique developed and taught by the author (known as "Graf‘s technique")..Graf‘s technique classifies the anatomical pathology and leads
圖書(shū)封面Titlebook: Hip Sonography; Diagnosis and Manage Reinhard Graf Book 2006Latest edition Springer-Verlag Berlin Heidelberg 2006 classification.diagnosis.
描述.Sonography of baby hips for the diagnosis of DDH and dysplasia has grown steadily in importance in recent years. A strict standardized technique for investigation of the baby and interpretation of the sonograms has made hip ultrasound reproducible, reliable and independent of examiner skill and experience...Graf’s technique is now used worldwide, and selective or even general screening programmes for all babies are established in many European countries today...The first part of this book includes the fundamentals of hip sonography, static as well as dynamic techniques, anatomical identification of the echograms, typing, a measurement technique and usability check...The second part is an atlas including a summary of the essential data and demonstrating correct and incorrect sonograms in different variations. The book is indispensable for everyone dealing with DDH problems in diagnosis and therapy...
出版日期Book 2006Latest edition
關(guān)鍵詞classification; diagnosis; instability; sonography; ultrasound; Ultrasonography
版次2
doihttps://doi.org/10.1007/3-540-30958-6
isbn_softcover978-3-540-30957-4
isbn_ebook978-3-540-30958-1
copyrightSpringer-Verlag Berlin Heidelberg 2006
The information of publication is updating

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https://doi.org/10.1007/3-540-30958-6classification; diagnosis; instability; sonography; ultrasound; Ultrasonography
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n orthonormal separating matrix which diagonalizes many cumulant matrices of given observed signals as accurately as possible. It has been known that such diagonalization can be carried out efficiently by the Jacobi method, where the optimization for each pair of signals is repeated until the conver
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d in various kernel spaces. Projections may be either random or guided by some heuristics, in both cases followed by estimation of relevance of each generated feature. Final results are in the simplest case obtained using simple voting, but linear discrimination or any other machine approach may be
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h- saloniki, Greece during September 15–18, 2010. ICANN is an annual meeting sponsored by the European Neural Network Society (ENNS) in cooperation with the International Neural Network So- ety (INNS) and the Japanese Neural Network Society (JNNS). This series of conferences has been held annually s
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