Advances in computerized image analysis methods on breast ultrasound

Anant Madabhushi, Dimitris N. Metaxas

Research output: Chapter in Book/Report/Conference proceedingChapter

4 Scopus citations

Abstract

In the last decade, ultrasound along with digital mammography has come to be regarded as the gold standard for breast cancer diagnosis. While several computer-aided diagnostic methodologies have been proposed to aid radiologists in detecting and diagnosing suspicious regions on digital mammograms, only recently has there been a similar initiative for breast ultrasound. In this article, we review different computerized methods for analysis of lesions seen on breast ultrasound. We describe and compare approaches and algorithms pertaining to detection, segmentation, feature extraction, and classification of sonographic breast lesions. We also highlight the challenges in computer-aided detection and diagnosis of lesions seen on breast ultrasound and suggest future avenues of research.

Original languageEnglish (US)
Title of host publicationMedical Imaging Systems Technology
Subtitle of host publicationAnalysis and Computational Methods
PublisherWorld Scientific Publishing Co.
Pages119-150
Number of pages32
ISBN (Electronic)9789812705785
ISBN (Print)9812563644, 9789812569936
DOIs
StatePublished - Jan 1 2005

All Science Journal Classification (ASJC) codes

  • Medicine(all)

Keywords

  • Breast
  • Computer-aided diagnosis
  • Feature classification
  • Image analysis
  • Image processing
  • Segmentation
  • Ultrasound

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