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Observer Performance Methods for Diagnostic Imaging: Foundations, Modeling, and
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eBay-objectnummer:395284385944
Specificaties
- Objectstaat
- ISBN-13
- 9781482214840
- Book Title
- Observer Performance Methods for Diagnostic Imaging
- ISBN
- 9781482214840
- Publication Name
- Observer Performance Methods for Diagnostic Imaging : Foundations, Modeling, and Applications with R-Based Examples
- Item Length
- 10.3in
- Publisher
- CRC Press LLC
- Series
- Imaging in Medical Diagnosis and Therapy Ser.
- Publication Year
- 2017
- Type
- Textbook
- Format
- Hardcover
- Language
- English
- Item Height
- 1.5in
- Item Width
- 7.2in
- Item Weight
- 41.7 Oz
- Number of Pages
- 542 Pages
Over dit product
Product Information
"This book presents the technology evaluation methodology from the point of view of radiological physics and contrasts the purely physical evaluation of image quality with the determination of diagnostic outcome through the study of observer performance. The reader is taken through the arguments with concrete examples illustrated by code in R, an open source statistical language." - from the Foreword by Prof. Harold L. Kundel, Department of Radiology, Perelman School of Medicine, University of Pennsylvania "This book will benefit individuals interested in observer performance evaluations in diagnostic medical imaging and provide additional insights to those that have worked in the field for many years." - Prof. Gary T. Barnes, Department of Radiology, University of Alabama at Birmingham This book provides a complete introductory overview of this growing field and its applications in medical imaging, utilizing worked examples and exercises to demystify statistics for readers of any background. It includes a tutorial on the use of the open source, widely used R software, as well as basic statistical background, before addressing localization tasks common in medical imaging. The coverage includes a discussion of study design basics and the use of the techniques in imaging system optimization, memory effects in clinical interpretations, predictions of clinical task performance, alternatives to ROC analysis, and non-medical applications. Dev P. Chakraborty, PhD, is a clinical diagnostic imaging physicist, certified by the American Board of Radiology in Diagnostic Radiological Physics and Medical Nuclear Physics. He has held faculty positions at the University of Alabama at Birmingham, University of Pennsylvania, and most recently at the University of Pittsburgh.
Product Identifiers
Publisher
CRC Press LLC
ISBN-10
1482214849
ISBN-13
9781482214840
eBay Product ID (ePID)
240359241
Product Key Features
Publication Name
Observer Performance Methods for Diagnostic Imaging : Foundations, Modeling, and Applications with R-Based Examples
Format
Hardcover
Language
English
Series
Imaging in Medical Diagnosis and Therapy Ser.
Publication Year
2017
Type
Textbook
Number of Pages
542 Pages
Dimensions
Item Length
10.3in
Item Height
1.5in
Item Width
7.2in
Item Weight
41.7 Oz
Additional Product Features
Lc Classification Number
Rc78.7.D53c46 2017
Reviews
"This book will benefit individuals interested in observer performance evaluations in diagnostic medical imaging and provide additional insights to those that have worked in the field for many years." -- from the Foreword by Gary T. Barnes, Professor Emeritus, Department of Radiology, University of Alabama Birmingham "As opposed to most of the books with a primary statistical orientation, this book presents the technology evaluation methodology from the point of view of radiological physics and contrasts the purely physical evaluation of image quality with the determination of diagnostic outcome through the study of observer performance. The reader is taken through the arguments with concrete examples illustrated by code in R, an open source statistical language." -- Harold L. Kundel, Emeritus Professor, Department of Radiology, Perelman School of Medicine, University of Pennsylvania
Copyright Date
2018
Topic
Programming Languages / General, Diagnostic Imaging / General, Radiology, Radiotherapy & Nuclear Medicine, Physics / General, Biomedical
Lccn
2017-031569
Dewey Decimal
616.07/543
Intended Audience
College Audience
Dewey Edition
23
Illustrated
Yes
Genre
Computers, Technology & Engineering, Science, Medical
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