Comparison of computerized image analyses for digitized screen-film mammograms and full-field digital mammography images

Hui Li, Maryellen L. Giger, Yading Yuan, Li Lan, Kenji Suzuki, Andrew Jamieson, Laura Yarusso, Robert M. Nishikawa, Charlene Sennett

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

9 Scopus citations

Abstract

We have developed computerized methods for the analysis of mammo-graphic lesions in order to aid in the diagnosis of breast cancer. Our automatic methods include the extraction of the lesion from the breast parenchyma, the characterization of the lesion features in terms of mathematical descriptors, and the merging of these lesion features into an estimate of the probability of malignancy. Our initial development was performed on digitized screen film mammograms. We report our progress here in converting our methods for use with images from full-field digital mammography (FFDM). It is apparent from our initial comparisons on CAD for SFMD and FFDM that the overall concepts and image analysis techniques are similar, however reoptimization for a particular lesion segmentation or a particular mammographic imaging system are warranted.

Original languageEnglish (US)
Title of host publicationDigital Mammography - 8th International Workshop, IWDM 2006, Proceedings
PublisherSpringer Verlag
Pages569-575
Number of pages7
ISBN (Print)3540356258, 9783540356257
DOIs
StatePublished - 2006
Externally publishedYes
Event8th International Workshop on Digital Mammography, IWDM 2006 - Manchester, United Kingdom
Duration: Jun 18 2006Jun 21 2006

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

Conference

Conference8th International Workshop on Digital Mammography, IWDM 2006
Country/TerritoryUnited Kingdom
CityManchester
Period6/18/066/21/06

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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