Diagnostic and prognostic histopathology system using morphometric indices
Abstract
Determining at least one of a prognosis or a therapy for a patient based on a stained tissue section of the patient. An image of a stained tissue section of a patient is processed by a processing device. A set of features values for a set of cell-based features is extracted from the processed image, and the processed image is associated with a particular cluster of a plurality of clusters based on the set of feature values, where the plurality of clusters is defined with respect to a feature space corresponding to the set of features.
- Inventors:
- Publication Date:
- Research Org.:
- Argonne National Laboratory (ANL), Argonne, IL (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1179221
- Patent Number(s):
- 9,031,306
- Application Number:
- 13/886,213
- Assignee:
- The Regents of the University of California (Oakland, CA)
- DOE Contract Number:
- AC02-05CH11231
- Resource Type:
- Patent
- Resource Relation:
- Patent File Date: 2013 May 02
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 60 APPLIED LIFE SCIENCES; 59 BASIC BIOLOGICAL SCIENCES; 97 MATHEMATICS AND COMPUTING
Citation Formats
Parvin, Bahram, Chang, Hang, Han, Ju, and Fontenay, Gerald V. Diagnostic and prognostic histopathology system using morphometric indices. United States: N. p., 2015.
Web.
Parvin, Bahram, Chang, Hang, Han, Ju, & Fontenay, Gerald V. Diagnostic and prognostic histopathology system using morphometric indices. United States.
Parvin, Bahram, Chang, Hang, Han, Ju, and Fontenay, Gerald V. 2015.
"Diagnostic and prognostic histopathology system using morphometric indices". United States. https://www.osti.gov/servlets/purl/1179221.
@article{osti_1179221,
title = {Diagnostic and prognostic histopathology system using morphometric indices},
author = {Parvin, Bahram and Chang, Hang and Han, Ju and Fontenay, Gerald V},
abstractNote = {Determining at least one of a prognosis or a therapy for a patient based on a stained tissue section of the patient. An image of a stained tissue section of a patient is processed by a processing device. A set of features values for a set of cell-based features is extracted from the processed image, and the processed image is associated with a particular cluster of a plurality of clusters based on the set of feature values, where the plurality of clusters is defined with respect to a feature space corresponding to the set of features.},
doi = {},
url = {https://www.osti.gov/biblio/1179221},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue May 12 00:00:00 EDT 2015},
month = {Tue May 12 00:00:00 EDT 2015}
}
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Works referenced in this record:
Comparison of sparse coding and kernel methods for histopathological classification of gliobastoma multiforme
conference, March 2011
- Han, Ju; Chang, Hang; Loss, Leandro
- 2011 8th IEEE International Symposium on Biomedical Imaging (ISBI 2011), 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro
Iterative Tensor Voting for Perceptual Grouping of Ill-Defined Curvilinear Structures
journal, August 2011
- Loss, Leandro A.; Bebis, George; Parvin, Bahram
- IEEE Transactions on Medical Imaging, Vol. 30, Issue 8
Morphometic analysis of TCGA glioblastoma multiforme
journal, January 2011
- Chang, Hang; Fontenay, Gerald V.; Han, Ju
- BMC Bioinformatics, Vol. 12, Issue 1
Learning invariant features of tumor signatures
conference, May 2012
- Le, Quoc V.; Han, Ju; Gray, Joe W.
- 2012 IEEE 9th International Symposium on Biomedical Imaging (ISBI 2012), 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI)
Batch-invariant nuclear segmentation in whole mount histology sections
conference, May 2012
- Chang, Hang; Loss, Leandro A.; Spellman, Paul T.
- 2012 IEEE 9th International Symposium on Biomedical Imaging (ISBI 2012), 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI)
Molecular bases of morphometric composition in Glioblastoma multiforme
conference, May 2012
- Han, Ju; Chang, Hang; Fontenay, Gerald V.
- 2012 IEEE 9th International Symposium on Biomedical Imaging (ISBI 2012), 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI)
Combinational pixel-by-pixel and object-level classifying, segmenting, and agglomerating in performing quantitative image analysis that distinguishes between healthy non-cancerous and cancerous cell nuclei and delineates nuclear, cytoplasm, and stromal material objects from stained biological tissue materials
patent, July 2013
- Boucheron, Laura E.
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