Web-based multi-observer segmentation evaluation tool

Yaoyao Zhu, Sharon Xiaolei Huang, Daniel Lopresti, Rodeny Long, Sameer Antani, Zhiyun Xue, George Thoma

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

1 Scopus citations

Abstract

Multi-observer segmentation evaluation is useful in the imaging community. We have developed web-based software for automatic performance evaluation of multiple image segmentations which is based on the Baysian Decision framework. It computes a probabilistic estimate of the true segmentation ground truth map) and performance measures for the individual segmentations (sensitivity and specificity). The strength of the tool is that it integrates the two kinds of prior knowledge of segmentations: the truth prior (the prior probability) and the observer prior (the performance measures of observers), which can generate more accurate evaluations.

Original languageEnglish (US)
Title of host publicationProceedings of the 21st IEEE International Symposium on Computer-Based Medical Systems, CBMS 2008
Pages167-169
Number of pages3
DOIs
StatePublished - Sep 22 2008
Event21st IEEE International Symposium on Computer-Based Medical Systems, CBMS 2008 - Jyvaskyla, Finland
Duration: Jun 17 2008Jun 19 2008

Publication series

NameProceedings - IEEE Symposium on Computer-Based Medical Systems
ISSN (Print)1063-7125

Conference

Conference21st IEEE International Symposium on Computer-Based Medical Systems, CBMS 2008
CountryFinland
CityJyvaskyla
Period6/17/086/19/08

All Science Journal Classification (ASJC) codes

  • Radiology Nuclear Medicine and imaging
  • Computer Science Applications

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  • Cite this

    Zhu, Y., Huang, S. X., Lopresti, D., Long, R., Antani, S., Xue, Z., & Thoma, G. (2008). Web-based multi-observer segmentation evaluation tool. In Proceedings of the 21st IEEE International Symposium on Computer-Based Medical Systems, CBMS 2008 (pp. 167-169). [4561979] (Proceedings - IEEE Symposium on Computer-Based Medical Systems). https://doi.org/10.1109/CBMS.2008.121