Volumetric assessment of breast tissue composition from FFDM images

Keith Hartman, Ralph Highnam, Ruth Warren, Valerie Jackson

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

54 Scopus citations

Abstract

We present first results from a new automated algorithm for the volumetric measurement of the composition of breast tissue from digital mammograms. The new algorithm overcomes issues in previous implementations through better segmentation and use of additional information We measure the success of the new algorithm using an overall quality metric based upon the results from a large multi-site, multi-vendor, multi-detector set of digitally acquired mammograms.

Original languageEnglish (US)
Title of host publicationDigital Mammography - 9th International Workshop, IWDM 2008, Proceedings
Pages33-39
Number of pages7
DOIs
StatePublished - Sep 9 2008
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

Other

Other9th International Workshop on Digital Mammography, IWDM 2008
CountryUnited States
CityTucson, AZ
Period7/20/087/23/08

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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    Hartman, K., Highnam, R., Warren, R., & Jackson, V. (2008). Volumetric assessment of breast tissue composition from FFDM images. In Digital Mammography - 9th International Workshop, IWDM 2008, Proceedings (pp. 33-39). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5116 LNCS). https://doi.org/10.1007/978-3-540-70538-3_5