The impact of integration of computer-aided detection and human observers

Nachiko Uchiyama, Noriyuki Moriyama, Takayuki Yamada, Noriaki Ohuchi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We evaluated the impact of integration of CAD (Computer-Aided Detection) system and human observers in digital mammography. We com-pared the diagnostic efficacy of non-informed observers and informed observers regarding the CAD system's ability (average FP (false positive) per four images and sensitivity of microcalcifications and mass) to detect cancer. With the informed-group, we previously informed them of the accuracy of CAD. In each group, observers recorded the diagnosis before utilizing the CAD system and after utilizing the CAD system according to BI-RADs category and to six additional categories associated with diagnostic confidence, Regarding diagnostic accuracy, with the informed group, sensitivity and NPV were improved without an increase in FP. On the other hand, the diagnostic accuracy of human observers was influenced by prior notification of CAD's accuracy and by CAD's performance in cancer detection itself.

Original languageEnglish
Title of host publicationDigital Mammography - 8th International Workshop, IWDM 2006, Proceedings
PublisherSpringer-Verlag
Pages105-110
Number of pages6
ISBN (Print)3540356258, 9783540356257
Publication statusPublished - 2006 Jan 1
Event8th International Workshop on Digital Mammography, IWDM 2006 - Manchester, United Kingdom
Duration: 2006 Jun 182006 Jun 21

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4046 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other8th International Workshop on Digital Mammography, IWDM 2006
CountryUnited Kingdom
CityManchester
Period06/6/1806/6/21

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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