Observer Performance Methods for Diagnostic Imaging

Observer Performance Methods for Diagnostic Imaging
Author :
Publisher : CRC Press
Total Pages : 700
Release :
ISBN-10 : 9781351230711
ISBN-13 : 1351230719
Rating : 4/5 (719 Downloads)

Book Synopsis Observer Performance Methods for Diagnostic Imaging by : Dev P. Chakraborty

Download or read book Observer Performance Methods for Diagnostic Imaging written by Dev P. Chakraborty and published by CRC Press. This book was released on 2017-12-14 with total page 700 pages. Available in PDF, EPUB and Kindle. Book excerpt: "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.


Observer Performance Methods for Diagnostic Imaging Related Books

Observer Performance Methods for Diagnostic Imaging
Language: en
Pages: 700
Authors: Dev P. Chakraborty
Categories: Medical
Type: BOOK - Published: 2017-12-14 - Publisher: CRC Press

GET EBOOK

"This book presents the technology evaluation methodology from the point of view of radiological physics and contrasts the purely physical evaluation of image q
Observer Performance Methods for Diagnostic Imaging
Language: en
Pages: 591
Authors: Dev P. Chakraborty
Categories: Medical
Type: BOOK - Published: 2017-12-14 - Publisher: CRC Press

GET EBOOK

Gives an accessible overview of R programming for medical imaging and the methods of observer performance testing. Explains the fundamental statistical concepts
Statistical Methods in Diagnostic Medicine
Language: en
Pages: 597
Authors: Xiao-Hua Zhou
Categories: Medical
Type: BOOK - Published: 2014-08-21 - Publisher: John Wiley & Sons

GET EBOOK

Praise for the First Edition " . . . the book is a valuable addition to the literature in the field, serving as a much-needed guide for both clinicians and adva
The Handbook of Medical Image Perception and Techniques
Language: en
Pages: 1478
Authors: Ehsan Samei
Categories: Science
Type: BOOK - Published: 2018-12-13 - Publisher: Cambridge University Press

GET EBOOK

A state-of-the-art review of key topics in medical image perception science and practice, including associated techniques, illustrations and examples. This seco
Handbook of Medical Imaging
Language: en
Pages: 542
Authors: Jacob Beutel
Categories: Medical
Type: BOOK - Published: 2000 - Publisher: SPIE Press

GET EBOOK

This volume describes concurrent engineering developments that affect or are expected to influence future development of digital diagnostic imaging. It also cov