Assessment of automated image analysis of breast cancer tissue microarrays for epidemiologic studies.
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Micro-NMR for rapid molecular analysis of human tumor samplesQuantitative comparison and reproducibility of pathologist scoring and digital image analysis of estrogen receptor β2 immunohistochemistry in prostate cancer.Crowdsourcing scoring of immunohistochemistry images: Evaluating Performance of the Crowd and an Automated Computational MethodCrowdsourcing the General Public for Large Scale Molecular Pathology Studies in Cancer.Immunohistochemical analysis of ezrin-radixin-moesin-binding phosphoprotein 50 in prostatic adenocarcinoma.Development of automated quantification methodologies of immunohistochemical markers to determine patterns of immune response in breast cancer: a retrospective cohort study.Associations of breast cancer risk factors with tumor subtypes: a pooled analysis from the Breast Cancer Association Consortium studies.Membrane connectivity estimated by digital image analysis of HER2 immunohistochemistry is concordant with visual scoring and fluorescence in situ hybridization results: algorithm evaluation on breast cancer tissue microarraysA Comparative Analysis of Biomarker Expression and Molecular Subtypes of Pure Ductal Carcinoma In Situ and Invasive Breast Carcinoma by Image Analysis: Relationship of the Subtypes with Histologic Grade, Ki67, p53 Overexpression, and DNA PloidyQuantification of Estrogen Receptor-Alpha Expression in Human Breast Carcinomas With a Miniaturized, Low-Cost Digital Microscope: A Comparison with a High-End Whole Slide-ScannerQuantitative comparison of immunohistochemical staining measured by digital image analysis versus pathologist visual scoringTumour biomarker expression relative to age and molecular subtypes of invasive breast cancer.Astronomical algorithms for automated analysis of tissue protein expression in breast cancer.Performance of automated scoring of ER, PR, HER2, CK5/6 and EGFR in breast cancer tissue microarrays in the Breast Cancer Association Consortium.Automated Quantitative Analysis of p53, Cyclin D1, Ki67 and pERK Expression in Breast Carcinoma Does Not Differ from Expert Pathologist Scoring and Correlates with Clinico-Pathological Characteristics.High-throughput automated scoring of Ki67 in breast cancer tissue microarrays from the Breast Cancer Association ConsortiumAnalysis of protein biomarkers in human clinical tumor samples: critical aspects to success from tissue acquisition to analysis.Image analysis tools for evaluation of microscopic views of immunohistochemically stained specimen in medical research-a review.Immunohistochemical staining of slit2 in primary and metastatic prostatic adenocarcinoma.Crowdsourcing for translational research: analysis of biomarker expression using cancer microarrays.Simultaneous automatic scoring and co-registration of hormone receptors in tumor areas in whole slide images of breast cancer tissue slides.Comparison of visual and automated assessment of HER2 status and their impact on outcome in primary operable invasive ductal breast cancer.A multistep image analysis method to increase automated identification efficiency in immunohistochemical nuclear markers with a high background level.E-cadherin breast tumor expression, risk factors and survival: Pooled analysis of 5,933 cases from 12 studies in the Breast Cancer Association Consortium.
P2860
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P2860
Assessment of automated image analysis of breast cancer tissue microarrays for epidemiologic studies.
description
2010 nî lūn-bûn
@nan
2010 թուականի Մարտին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի մարտին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
name
Assessment of automated image ...... ays for epidemiologic studies.
@ast
Assessment of automated image ...... ays for epidemiologic studies.
@en
type
label
Assessment of automated image ...... ays for epidemiologic studies.
@ast
Assessment of automated image ...... ays for epidemiologic studies.
@en
prefLabel
Assessment of automated image ...... ays for epidemiologic studies.
@ast
Assessment of automated image ...... ays for epidemiologic studies.
@en
P2093
P2860
P50
P1476
Assessment of automated image ...... ays for epidemiologic studies.
@en
P2093
Mark E Sherman
Máire A Duggan
Paul Meltzer
Petra Lenz
Robert Cornelison
Ruth M Pfeiffer
Sarah L Anzick
William J Howat
Xiaohong R Yang
P2860
P304
P356
10.1158/1055-9965.EPI-09-1023
P577
2010-03-23T00:00:00Z