Case-specific reliability assessment for improved false positive reduction with an information-theoretic CAD system

Piotr A. Habas, Jacek M. Zurada, Georgia D. Tourassi

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

1 Scopus citations

Abstract

The study presents an application of the case-specific reliability analysis framework for quality evaluation of mammographic CAD detections. First, the original framework is modified so that it can be applied to a featureless case-based CAD system that relies on principles of information theory (IT). Then, the IT-CAD system is applied for false positive reduction of visual cues provided by a pre-screening algorithm. The study is based on mammograms from the Digital Database of Screening Mammography (DDSM) and is focused on mass detection. Experimental results show that assessment of the expected accuracy for each individual CAD cue facilitates 11%-18% further reduction of false positives while operating at high mass detection rates.

Original languageEnglish
Title of host publicationDigital Mammography - 9th International Workshop, IWDM 2008, Proceedings
Pages329-335
Number of pages7
DOIs
StatePublished - 2008
Externally publishedYes
Event9th International Workshop on Digital Mammography, IWDM 2008 - Tucson, AZ, United States
Duration: Jul 20 2008Jul 23 2008

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5116 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference9th International Workshop on Digital Mammography, IWDM 2008
Country/TerritoryUnited States
CityTucson, AZ
Period07/20/0807/23/08

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