research-article

Towards efficient automated characterization of irregular histology images via transformation to frieze-like patterns

Authors:

Brian A. Canada,

Georgia K. Thomas,

Keith C. Cheng,

Yanxi LiuAuthors Info & Claims

CIVR '08: Proceedings of the 2008 international conference on Content-based image and video retrieval

Pages 581 - 590

https://doi.org/10.1145/1386352.1386437

Published: 07 July 2008 Publication History

Abstract

Histology is used in both clinical and research contexts as a highly sensitive method for detecting morphological abnormalities in organ tissues. Although modern scanning equipment has enabled high-throughput digitization of high-resolution histology slides, the manual scoring and annotation of these images is a tedious, subjective, and sometimes error-prone process. A number of methods have been proposed for the automated characterization of histology images, most of which rely on the extraction of texture features used for classifier training. The irregular, nonlinear shapes of certain types of tissues can obscure the implicit symmetries observed within them, making it difficult or cumbersome for automated methods to extract texture features quickly and reliably. Using larval zebrafish eye and gut tissues as a pilot model, we present a prototype method for transforming the appearance of these irregularly-shaped tissues into one-dimensional, "frieze-like" patterns. We show that the reduced dimensionality of the patterns may allow them to be characterized with greater efficiency and accuracy than by previous methods of image analysis, which in turn enables potentially greater accuracy in the retrieval of histology images exhibiting abnormalities of interest to pathologists and researchers.

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Cited By

Mazo CAlegre ETrujillo MGonzález-Castro V(2017)Tissues Classification of the Cardiovascular System Using Texture DescriptorsMedical Image Understanding and Analysis10.1007/978-3-319-60964-5_11(123-132)Online publication date: 22-Jun-2017
https://doi.org/10.1007/978-3-319-60964-5_11
Ding HWang CHuang KMachiraju R(2015)GRAPHIE: graph based histology image explorerBMC Bioinformatics10.1186/1471-2105-16-S11-S1016:S11Online publication date: 13-Aug-2015
https://doi.org/10.1186/1471-2105-16-S11-S10
Canada BThomas GCheng KWang J(2011)SHIRAZMultimedia Tools and Applications10.1007/s11042-010-0638-451:2(401-440)Online publication date: 1-Jan-2011
https://dl.acm.org/doi/10.1007/s11042-010-0638-4
Show More Cited By

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Towards efficient automated characterization of irregular histology images via transformation to frieze-like patterns

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Published In

cover image ACM Conferences

CIVR '08: Proceedings of the 2008 international conference on Content-based image and video retrieval

July 2008

674 pages

ISBN:9781605580708

DOI:10.1145/1386352

General Chairs:
Jiebo Luo
Kodak Research Laboratories
,
Ling Guan
Ryerson University
,
Program Chairs:
Alan Hanjalic
Delft University of Technology
,
Mohan Kankanhalli
National University of Singapore
,
Ivan Lee
University of South Australia

Copyright © 2008 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 07 July 2008

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CIVR08: CIVR'08 - International Conference on Content-based Image and Video Retrieval

July 7 - 9, 2008

Niagara Falls, Canada

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Cited By

Mazo CAlegre ETrujillo MGonzález-Castro V(2017)Tissues Classification of the Cardiovascular System Using Texture DescriptorsMedical Image Understanding and Analysis10.1007/978-3-319-60964-5_11(123-132)Online publication date: 22-Jun-2017
https://doi.org/10.1007/978-3-319-60964-5_11
Ding HWang CHuang KMachiraju R(2015)GRAPHIE: graph based histology image explorerBMC Bioinformatics10.1186/1471-2105-16-S11-S1016:S11Online publication date: 13-Aug-2015
https://doi.org/10.1186/1471-2105-16-S11-S10
Canada BThomas GCheng KWang J(2011)SHIRAZMultimedia Tools and Applications10.1007/s11042-010-0638-451:2(401-440)Online publication date: 1-Jan-2011
https://dl.acm.org/doi/10.1007/s11042-010-0638-4
Canada BThomas GCheng KWang JYanxi Liu (2008)Automatic lattice detection in near-regular histology array images2008 15th IEEE International Conference on Image Processing10.1109/ICIP.2008.4712039(1452-1455)Online publication date: Oct-2008
https://doi.org/10.1109/ICIP.2008.4712039

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