Progress in breast CADx

Maryellen Giger, Yading Yuan, Hui Li, Karen Drukker, Weijie Chen, Li Lan, Karla Horsch

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

3 Scopus citations

Abstract

The accuracy of a medical imaging examination depends on both the quality of the image acquisition and the quality of the image interpretation. For more than half a century, computer technology greatly improved image acquisition systems, e.g., with the development of various advanced tomographic imaging modalities. Computer technology is also contributing to the quality of the image interpretation process by incorporation of CAD, i.e., computer-aided detection (CADe) and computer-aided diagnosis (CADx). CADe involves the use of computer analyses to indicate locations of suspect regions in a medical image. The characterization, diagnosis, and patient management are left to the radiologist. CADx involves the use of computer analyses to characterize a region or lesion, initially located by either a human or computer, leaving the final diagnosis and patient management to the radiologist. We present here our progress in CADx for breast cancer using mammography, sonography, and breast MRI.

Original languageEnglish
Title of host publication2007 4th IEEE International Symposium on Biomedical Imaging
Subtitle of host publicationFrom Nano to Macro - Proceedings
Pages508-511
Number of pages4
DOIs
StatePublished - 2007
Externally publishedYes
Event2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro; ISBI'07 - Arlington, VA, United States
Duration: 12 Apr 200715 Apr 2007

Publication series

Name2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings

Conference

Conference2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro; ISBI'07
Country/TerritoryUnited States
CityArlington, VA
Period12/04/0715/04/07

Keywords

  • Breast cancer
  • Classification
  • Computer-aided diagnosis
  • Segmentation

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