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Title: 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}
}

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
  • https://doi.org/10.1109/ISBI.2011.5872505

Iterative Tensor Voting for Perceptual Grouping of Ill-Defined Curvilinear Structures
journal, August 2011


Morphometic analysis of TCGA glioblastoma multiforme
journal, January 2011


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)
  • https://doi.org/10.1109/ISBI.2012.6235544

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)
  • https://doi.org/10.1109/ISBI.2012.6235683

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)
  • https://doi.org/10.1109/ISBI.2012.6235889