Pictorial Data Analysis
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Pictorial Information Systems in Medicine
Author: Karl H. Höhne
language: en
Publisher: Springer Science & Business Media
Release Date: 2013-06-29
This volume contains the proceedings of the NATO Advanced Study Institute on "Pictorial Information Systems in Medicine" held August 27-September 7, 1984 in Hotel Maritim, Braunlage/Harz, Federal Republic of Germany. The program committee of the institute consisted of KH Hohne (Director), G. T Herman, G. S. Lodwick, and D. Meyer-Ebrecht. The organization was in the hands of Klaus Assmann and Fritz Bocker In the last decade medical imaging has undergone a rapid development New imaging modalities such as Computer Tomography (CT), Digital Angiography (DSA) and Magnetic Resonance Imaging (MRI) were developed using the capabilities of modern computers. In a modern hospital these technologies produce already more then 25% of image data in digital form. This format lends itself to the design of computer assisted Information systems Integrating data acquisition, presentation, communi cation and archiving for all modalities and users within a department or even a hospital. Advantages such as rapid access to any archived Image, synoptic presentation, computer assisted image analysis to name only a few, are expected. The design of such pictorial information systems, however, often called PACS (Picture Archiving and Communication Systems) In the medical community is a non-trivial task involving know-how from many disciplines such as - Medicine (especially Radiology), - Data Base Technology, - Computer Graphics, - Man Machine Interaction, - Hardware Technology and others. Most of these disCiplines are represented by disjunct scientific communities.
Graphical Methods for Data Analysis
This book present graphical methods for analysing data. Some methods are new and some are old, some require a computer and others only paper and pencil; but they are all powerful data analysis tools. In many situations, a set of data even a large set- can be adequately analysed through graphical methods alone. In most other situations, a few well-chosen graphical displays can significantly enhance numerical statistical analyses.
Making Sense of the Social World
Author: Daniel F. Chambliss
language: en
Publisher: SAGE Publications
Release Date: 2018-12-01
The authors are proud sponsors of the 2020 SAGE Keith Roberts Teaching Innovations Award—enabling graduate students and early career faculty to attend the annual ASA pre-conference teaching and learning workshop. Congratulations to Daniel F. Chambliss, winner of the ASA Distinguished Contribution to Teaching Prize for 2018. The new Sixth Edition of Making Sense of the Social World continues to be an unusually accessible and student-friendly introduction to the variety of social research methods, guiding undergraduate readers to understand research in their roles as consumers and novice producers of social science. Known for its concise, casual, and clear writing, its balanced treatment of quantitative and qualitative approaches, and its integrated approach to the fundamentals, the text has much to offer both novice researchers and more advanced students alike. The authors use a wide variety of examples from formal studies and everyday experiences to illustrate important principles and techniques. A Complete Teaching & Learning Package SAGE coursepacks FREE! Easily import our quality instructor and student resource content into your school’s learning management system (LMS) and save time. SAGE edge FREE online resources for students that make learning easier.