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Pattern recognition neuroradiology

Author: Neil M Borden; Scott E Forseen
Publisher: Cambridge ; New York : Cambridge University Press, 2011.
Series: Cambridge medicine (Series)
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
"Faced with a single neuroradiological image of an unknown patient, how confident would you be to make a differential diagnosis? Despite advanced imaging techniques, a confident diagnosis also requires knowledge of the patient's age, clinical data and the lesion location. Pattern Recognition Neuroradiology provides the tools you will need to arrive at the correct diagnosis or a reasonable differential diagnosis.  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Borden, Neil M.
Pattern recognition neuroradiology.
Cambridge ; New York : Cambridge University Press, 2011
(DLC) 2011013007
(OCoLC)710813016
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Neil M Borden; Scott E Forseen
ISBN: 9781139144810 1139144812 113914149X 9781139141499
OCLC Number: 768770689
Description: 1 online resource (xiii, 339 pages) : illustrations.
Contents: Machine generated contents note: Preface; Part I. The Brain: 1. How to use Part I. The Brain; 2. Basic concepts and terminology; 3. Basic approach to image interpretation; 4. Generalized categorization of diseases and location; 5. Differential diagnosis by lesion location; 6. Morphologic characterization of lesion appearance; 7. Image gallery; Part II. The Spine: 8. Basic concepts and terminology; 9. Basic approach to image interpretation; 10. Generalized categorization of diseases and location; 11. Differential diagnosis by lesion location and morphology; 12. Image gallery; 13. Appendix: dictation templates; Index.
Series Title: Cambridge medicine (Series)
Responsibility: Neil M. Borden, Scott E. Forseen.

Abstract:

Presents the tools to recognise patterns in imaging, allowing you to diagnose and report findings more efficiently.  Read more...

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'Ease of readability, abundance of high-yield images, and systemizing an approach to radiologic interpretation are three characteristics that concisely summarize the essence of Pattern Recognition Read more...

 
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