Automatic boundary extraction of ultrasonic breast lesions

Anant Madabhushi, Dimitris Metaxas

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

20 Scopus citations


Breast cancer is the second leading cause of mortality in women. Automatically detecting tumors and extracting lesion boundaries in sonograms is difficult due to the specular and noisy nature of these images. Algorithms that claim to automatically classify ultrasonic breast lesions, rely on manual delineation of the tumor boundaries. This is however a slow and cumbersome task. In this work, we combine texture, intensity, gradient and a deformable model along with empirically determined domain specific knowledge to automatically find lesion margins in ultrasound images with no human intervention. The system has successfully extracted tumor boundaries in over 30 breast sonograms.

Original languageEnglish (US)
Title of host publication2002 IEEE International Symposium on Biomedical Imaging, ISBI 2002 - Proceedings
PublisherIEEE Computer Society
Number of pages4
ISBN (Electronic)078037584X
StatePublished - 2002
Externally publishedYes
EventIEEE International Symposium on Biomedical Imaging, ISBI 2002 - Washington, United States
Duration: Jul 7 2002Jul 10 2002

Publication series

NameProceedings - International Symposium on Biomedical Imaging
ISSN (Print)1945-7928
ISSN (Electronic)1945-8452


OtherIEEE International Symposium on Biomedical Imaging, ISBI 2002
Country/TerritoryUnited States

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging


Dive into the research topics of 'Automatic boundary extraction of ultrasonic breast lesions'. Together they form a unique fingerprint.

Cite this