{"product_id":"observer-performance-methods-for-diagnostic-imaging-9781482214840","title":"Observer Performance Methods for Diagnostic","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eThis 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. \u003cbr\u003e  from the Foreword by Prof. Harold L. Kundel, Department of Radiology, Perelman School of Medicine, University of Pennsylvania\u003c\/p\u003e\u003cp\u003eThis 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.\u003cbr\u003e Prof. Gary T. Barnes, Department of Radiology, University of Alabama at Birmingham\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis book provides a complete introductory overview of this growing field and its applications in medical imaging, utilizing worked examples and exercises to demystify stati\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\"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.\"\u003cbr\u003e— from the Foreword by Gary T. Barnes, Professor Emeritus, Department of Radiology, University of Alabama Birmingham\u003c\/p\u003e\u003cp\u003e\"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.\" \u003cbr\u003e—Harold L. Kundel, Emeritus Professor, Department of Radiology, Perelman School of Medicine, University of Pennsylvania\u003c\/p\u003e\u003cbr\u003e\u003cp\u003e\"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.\"\u003cbr\u003e— from the Foreword by Gary T. Barnes, Professor Emeritus, Department of Radiology, University of Alabama Birmingham\u003c\/p\u003e\u003cp\u003e\"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.\" \u003cbr\u003e— Harold L. Kundel, Emeritus Professor, Department of Radiology, Perelman School of Medicine, University of Pennsylvania\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cstrong\u003e1\u003c\/strong\u003e Preliminaries\u003c\/p\u003e\u003cp\u003ePART A The receiver operating characteristic (ROC) paradigm\u003c\/p\u003e\u003cp\u003e2 The binary paradigm\u003c\/p\u003e\u003cp\u003e3 Modeling the binary task\u003c\/p\u003e\u003cp\u003e4 The ratings paradigm\u003c\/p\u003e\u003cp\u003e5 Empirical AUC\u003c\/p\u003e\u003cp\u003e6 Binormal model\u003c\/p\u003e\u003cp\u003e7 Sources of variability in AUC\u003c\/p\u003e\u003cp\u003ePART B Two significance testing methods for the ROC paradigm\u003c\/p\u003e\u003cp\u003e8 Hypothesis testing\u003c\/p\u003e\u003cp\u003e9 Dorfman–Berbaum–Metz–Hillis (DBMH) analysis\u003c\/p\u003e\u003cp\u003e10 Obuchowski–Rockette–Hillis (ORH) analysis\u003c\/p\u003e\u003cp\u003e11 Sample size estimation\u003c\/p\u003e\u003cp\u003ePART C The free-response ROC (FROC) paradigm\u003c\/p\u003e\u003cp\u003e12 The FROC paradigm\u003c\/p\u003e\u003cp\u003e13 Empirical operating characteristics possible with FROC data\u003c\/p\u003e\u003cp\u003e14 Computation and meanings of empirical FROC FOM-statistics and AUC measures\u003c\/p\u003e\u003cp\u003e15 Visual search paradigms\u003c\/p\u003e\u003cp\u003e16 The radiological search model (RSM)\u003c\/p\u003e\u003cp\u003e17 Predictions of the RSM\u003c\/p\u003e\u003cp\u003e18 Analyzing FROC data\u003c\/p\u003e\u003cp\u003e19 Fitting RSM to FROC\/ROC data and key findings\u003c\/p\u003e\u003cp\u003ePART D Selected advanced topics\u003c\/p\u003e\u003cp\u003e20 Proper ROC models\u003c\/p\u003e\u003cp\u003e21 The bivariate binormal model\u003c\/p\u003e\u003cp\u003e22 Evaluating standalone CAD versus radiologists\u003c\/p\u003e\u003cp\u003e23 Validating CAD analysis\u003c\/p\u003e","brand":"Taylor \u0026 Francis Inc","offers":[{"title":"Default Title","offer_id":50578092884311,"sku":"9781482214840","price":171.0,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781482214840.jpg?v=1746097866","url":"https:\/\/bookcurl.com\/products\/observer-performance-methods-for-diagnostic-imaging-9781482214840","provider":"Book Curl","version":"1.0","type":"link"}