Segmentation of prostatic glands in histology images

Yahui Peng*, Yulei Jiang, Laurie Eisengart, Mark A. Healy, Francis H. Straus, Ximing J Yang

*Corresponding author for this work

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

10 Scopus citations

Abstract

We describe a technique for segmenting individual prostatic glands in hematoxylin-and-eosin stained prostatic tissue images. The method begins with image artifact correction, then segments the image into four tissue components using principal component analysis and k-means clustering, and finally identifies glands using a region-growing algorithm. We calculated the average gland size to distinguish cancer glands from non-cancer glands. Quantitative comparison between computer and manual outlines of glands based on 62 images (25 containing cancer) indicated an agreement of up to 67%, which approached the inter-observer agreement. Subjective evaluation corroborated these quantitative results and indicated that the technique segmented benign glands more accurately than malignant glands. Area under the receiver operating characteristic (ROC) curve of the average-gland-size feature was 0.92 in distinguishing prostate cancer from non-cancer glands.

Original languageEnglish (US)
Title of host publication2011 8th IEEE International Symposium on Biomedical Imaging
Subtitle of host publicationFrom Nano to Macro, ISBI'11
Pages2091-2094
Number of pages4
DOIs
StatePublished - Nov 2 2011
Event2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11 - Chicago, IL, United States
Duration: Mar 30 2011Apr 2 2011

Publication series

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

Other

Other2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11
CountryUnited States
CityChicago, IL
Period3/30/114/2/11

Keywords

  • Computer-aided diagnosis
  • histologic image
  • prostate cancer
  • segmentation

ASJC Scopus subject areas

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging

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  • Cite this

    Peng, Y., Jiang, Y., Eisengart, L., Healy, M. A., Straus, F. H., & Yang, X. J. (2011). Segmentation of prostatic glands in histology images. In 2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11 (pp. 2091-2094). [5872824] (Proceedings - International Symposium on Biomedical Imaging). https://doi.org/10.1109/ISBI.2011.5872824