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A maximum likelihood method for estimating the parameters of a search model

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

During case interpretation the radiologist searches a patient's image for possible lesions and marks and rates any perceived suspicious regions. A model is described for the mark-rating pairs generated in such interpretations, which is closely paralleled by the free-response receiver operating characteristic (FROC) paradigm. The search model has parameters quantifying perceived lesion signal-to-noise-ratio, the observer's ability to avoid making non-lesion localizations, and the observer's ability to find lesions. A method for estimating the model parameters from the observer's FROC or receiver operating characteristic (ROC) data and a preliminary validation of the procedure are described. Since search is a fundamental aspect of many activities in both human and machine vision, the ability to model and estimate the parameters of the search model from observer data may have considerable significance.

Original languageEnglish
Title of host publication2006 3rd IEEE International Symposium on Biomedical Imaging
Subtitle of host publicationFrom Nano to Macro - Proceedings
PublisherIEEE Computer Society
Pages1304-1307
Number of pages4
ISBN (Print)0780395778, 9780780395770
DOIs
StatePublished - 2006
Externally publishedYes
Event3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2006 - Arlington, VA, United States
Duration: Apr 6 2006Apr 9 2006

Publication series

Name2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings
Volume2006

Conference

Conference3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2006
Country/TerritoryUnited States
CityArlington, VA
Period04/6/0604/9/06

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