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Visual Computing for Medicine, Second Edition, offers cutting-edge visualization techniques and their applications in medical diagnosis, education, and treatment. The book includes algorithms, applications, and ideas on achieving reliability of results and clinical evaluation of the techniques covered. Preim and Botha illustrate visualization techniques from research, but also cover the information required to solve practical clinical problems. They base the book on several years of combined teaching and research experience. This new edition includes six new chapters on treatment planning, guidance and training; an updated appendix on software support for visual computing for medicine; and a new global structure that better classifies and explains the major lines of work in the field.
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Complete guide to visual computing in medicine, fully revamped and updated with new developments in the field
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Illustrated in full color
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Includes a companion website offering additional content for professors, source code, algorithms, tutorials, videos, exercises, lessons, and more
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The Little Mac Book, Leopard EditionMac OS 8.5 introduced definite changes to the operating system, and the latest edition of Robin Williams's immensely popular The Little Mac Book covers them all. Completely updated and revised, The Little Mac Book, Sixth Edition explains the new features of OS 8.5 in the same warm, jargon-free manner that made previous editions such a hit. With... | | Graphical Models with R (Use R!)
Graphical models in their modern form have been around since the late 1970s and
appear today in many areas of the sciences. Along with the ongoing developments
of graphical models, a number of different graphical modelling software programs
have been written over the years. In recent years many of these software developments
have... | | Complex Analysis (Princeton Lectures in Analysis, No. 2)
With this second volume, we enter the intriguing world of complex analysis. From the first theorems on, the elegance and sweep of the results is evident. The starting point is the simple idea of extending a function initially given for real values of the argument to one that is defined when the argument is complex. From there, one proceeds to... |
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