Seed pruning using a multi-resolution approach for automated segmentation of breast cancer tissue

Rohit C. Philip, Jeffrey J. Rodriguez, Robert J. Gillies

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

Abstract

This paper proposes a new automated system for segmentation of breast cancer tissue. The segmentation algorithm involves a principal component region growing scheme for high-resolution images. The number of candidate seed pixels is extremely large due to the high resolution. The main focus of this paper is to present a multi-resolution scheme for accurate selection of seed pixels to be presented as inputs to the region growing segmentation algorithm. The system is tested for accuracy, and the efficiency is measured in terms of percentage reduction in number of seed pixels, as well as accuracy of the segmentation results.

Original languageEnglish (US)
Title of host publication2008 IEEE International Conference on Image Processing, ICIP 2008 Proceedings
Pages1436-1439
Number of pages4
DOIs
StatePublished - Dec 1 2008
Event2008 IEEE International Conference on Image Processing, ICIP 2008 - San Diego, CA, United States
Duration: Oct 12 2008Oct 15 2008

Publication series

NameProceedings - International Conference on Image Processing, ICIP
ISSN (Print)1522-4880

Other

Other2008 IEEE International Conference on Image Processing, ICIP 2008
CountryUnited States
CitySan Diego, CA
Period10/12/0810/15/08

Keywords

  • Kl transform
  • Region growing
  • Seed pixels

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

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    Philip, R. C., Rodriguez, J. J., & Gillies, R. J. (2008). Seed pruning using a multi-resolution approach for automated segmentation of breast cancer tissue. In 2008 IEEE International Conference on Image Processing, ICIP 2008 Proceedings (pp. 1436-1439). [4712035] (Proceedings - International Conference on Image Processing, ICIP). https://doi.org/10.1109/ICIP.2008.4712035