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Proceedings Paper

Scene segmentation in a machine vision system for histopathology
Author(s): Deborah B. Thompson; H. G. Bartels; J. W. Haddad; Peter H. Bartels
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Paper Abstract

Algorithms and procedures employed to attain reliable and exhaustive segmentation in histopathologic imagery of colon and prostate sections are detailed. The algorithms are controlled and selectively called by a scene segmentation expert system as part of a machine vision system for the diagnostic interpretation of histopathologic sections. At this time, effective segmentation of scenes of glandular tissues is produced, with the system being conservative in the identification of glands; for the segmentation of overlapping glandular nuclei an overall success rate of approximately 90% has been achieved.

Paper Details

Date Published: 1 July 1990
PDF: 8 pages
Proc. SPIE 1206, New Technologies in Cytometry and Molecular Biology, (1 July 1990); doi: 10.1117/12.17805
Show Author Affiliations
Deborah B. Thompson, Optical Sciences Ctr./Univ. of Arizona (United States)
H. G. Bartels, Optical Sciences Ctr./Univ. of Arizona (United States)
J. W. Haddad, Optical Sciences Ctr./Univ. of Arizona (United States)
Peter H. Bartels, Optical Sciences Ctr./Univ. of Arizona (United States)


Published in SPIE Proceedings Vol. 1206:
New Technologies in Cytometry and Molecular Biology
Gary C. Salzman, Editor(s)

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