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:
- Issue Date:
- Research Org.:
- Argonne National Laboratory (ANL), Argonne, IL (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1179221
- Patent Number(s):
- 9031306
- Application Number:
- 13/886,213
- Assignee:
- The Regents of the University of California (Oakland, CA)
- Patent Classifications (CPCs):
-
A - HUMAN NECESSITIES A61 - MEDICAL OR VETERINARY SCIENCE A61B - DIAGNOSIS
G - PHYSICS G01 - MEASURING G01N - INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- 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. Tue .
"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 = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2015},
month = {5}
}
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.
- US Patent Document 8,488,863