Observer Performance Methods for Diagnostic Imaging: Foundations, Modeling, and Applications with R-Based Examples

Author:   Dev P. Chakraborty
Publisher:   Taylor & Francis Inc
ISBN:  

9781482214840


Pages:   590
Publication Date:   21 December 2017
Format:   Hardback
Availability:   In Print   Availability explained
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Observer Performance Methods for Diagnostic Imaging: Foundations, Modeling, and Applications with R-Based Examples


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Author:   Dev P. Chakraborty
Publisher:   Taylor & Francis Inc
Imprint:   CRC Press Inc
Weight:   1.180kg
ISBN:  

9781482214840


ISBN 10:   1482214849
Pages:   590
Publication Date:   21 December 2017
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

1 Preliminaries PART A The receiver operating characteristic (ROC) paradigm 2 The binary paradigm 3 Modeling the binary task 4 The ratings paradigm 5 Empirical AUC 6 Binormal model 7 Sources of variability in AUC PART B Two significance testing methods for the ROC paradigm 8 Hypothesis testing 9 Dorfman–Berbaum–Metz–Hillis (DBMH) analysis 10 Obuchowski–Rockette–Hillis (ORH) analysis 11 Sample size estimation PART C The free-response ROC (FROC) paradigm 12 The FROC paradigm 13 Empirical operating characteristics possible with FROC data 14 Computation and meanings of empirical FROC FOM-statistics and AUC measures 15 Visual search paradigms 16 The radiological search model (RSM) 17 Predictions of the RSM 18 Analyzing FROC data 19 Fitting RSM to FROC/ROC data and key findings PART D Selected advanced topics 20 Proper ROC models 21 The bivariate binormal model 22 Evaluating standalone CAD versus radiologists 23 Validating CAD analysis

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


Author Information

Dev P. Chakraborty received his PhD in physics in 1977 from the University of Rochester, NY. Following postdoctoral fellowships at the University of Pennsylvania (UPENN) and the University of Alabama at Birmingham (UAB), since 1982 he has worked as a clinical diagnostic imaging physicist. He is American Board of Radiology certified in Diagnostic Radiological Physics and Medical Nuclear Physics (1987). He has held faculty positions at UAB (1982 - 1988), UPENN (1988-2002) and the University of Pittsburgh (2002-2016). At UPENN he supervised hospital imaging equipment quality control, resident physics instruction and conducted independent research. He is an author on 78 peer-reviewed publications, the majority of which are first-authored. He has received research funding from the Whittaker Foundation, the Office of Women's Health, the FDA, the DOD, and has served as principal investigator on several NIH RO1 grants.

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