A methodology to ensure and improve accuracy of Ki67 labelling index estimation by automated digital image analysis in breast cancer tissue
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New Robust and Reproducible Stereological IHC Ki67 Breast Cancer Proliferative Assessment to Replace Traditional Biased Labeling Index.Digital immunohistochemistry wizard: image analysis-assisted stereology tool to produce reference data set for calibration and quality control.A methodology for comprehensive breast cancer Ki67 labeling index with intra-tumor heterogeneity appraisal based on hexagonal tiling of digital image analysis data.An Advanced Deep Learning Approach for Ki-67 Stained Hotspot Detection and Proliferation Rate Scoring for Prognostic Evaluation of Breast Cancer.Digital immunohistochemistry platform for the staining variation monitoring based on integration of image and statistical analyses with laboratory information systemQuantum dots-based quantitative and in situ multiple imaging on ki67 and cytokeratin to improve ki67 assessment in breast cancer.An interobserver reproducibility analysis of Ki67 visual assessment in breast cancer.A Comparison of Visual Assessment and Automated Digital Image Analysis of Ki67 Labeling Index in Breast Cancer.Quantum dots-based double imaging combined with organic dye imaging to establish an automatic computerized method for cancer Ki67 measurementInterobserver Variability of Ki-67 Measurement in Breast Cancer.High-throughput automated scoring of Ki67 in breast cancer tissue microarrays from the Breast Cancer Association ConsortiumImpact of tissue sampling on accuracy of Ki67 immunohistochemistry evaluation in breast cancer.Prognostic value of automated KI67 scoring in breast cancer: a centralised evaluation of 8088 patients from 10 study groups.Low Ki67/high ATM protein expression in malignant tumors predicts favorable prognosis in a retrospective study of early stage hormone receptor positive breast cancer.Fractal dimension and lacunarity of tumor microscopic images as prognostic indicators of clinical outcome in early breast cancer.Multifractal analysis of tumour microscopic images in the prediction of breast cancer chemotherapy response.Reliability of tumor-infiltrating lymphocyte and tertiary lymphoid structure assessment in human breast cancer.Gray-Level Co-Occurrence Matrix Texture Analysis of Breast Tumor Images in Prognosis of Distant Metastasis Risk.Early prognosis of metastasis risk in inflammatory breast cancer by texture analysis of tumour microscopic images.Expression of cell cycle markers is predictive of the response to primary systemic therapy of locally advanced breast cancer.Comparison of Monofractal, Multifractal and gray level Co-occurrence matrix algorithms in analysis of Breast tumor microscopic images for prognosis of distant metastasis risk.Reproducibility and Prognostic Potential of Ki-67 Proliferation Index when Comparing Digital-Image Analysis with Standard Semi-Quantitative Evaluation in Breast Cancer.Digital image analysis of Ki67 proliferation index in breast cancer using virtual dual staining on whole tissue sections: clinical validation and inter-platform agreement.Prognostic biomarker value of binary and grayscale breast tumor histopathology images.Ki67 Heterogeneity in Estrogen Receptor-Positive Breast Cancers: Which Tumor Type Has the Most Heterogeneity?Menstrual cycle could affect Ki67 expression in estrogen receptor-positive breast cancer patients.Using computer assisted image analysis to determine the optimal Ki67 threshold for predicting outcome of invasive breast cancer.Relationship between the Ki67 index and its area based approximation in breast cancer
P2860
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P2860
A methodology to ensure and improve accuracy of Ki67 labelling index estimation by automated digital image analysis in breast cancer tissue
description
2014 nî lūn-bûn
@nan
2014 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
name
A methodology to ensure and im ...... alysis in breast cancer tissue
@ast
A methodology to ensure and im ...... alysis in breast cancer tissue
@en
type
label
A methodology to ensure and im ...... alysis in breast cancer tissue
@ast
A methodology to ensure and im ...... alysis in breast cancer tissue
@en
prefLabel
A methodology to ensure and im ...... alysis in breast cancer tissue
@ast
A methodology to ensure and im ...... alysis in breast cancer tissue
@en
P2093
P2860
P356
P1476
A methodology to ensure and im ...... alysis in breast cancer tissue
@en
P2093
Aida Laurinaviciene
Benoit Plancoulaine
Catherine Bor
Darius Dasevicius
Indra Baltrusaityte
Justinas Besusparis
Nicolas Elie
Paulette Herlin
Raimundas Meskauskas
Yasir Iqbal
P2860
P2888
P356
10.1186/BCR3639
P577
2014-01-01T00:00:00Z
P5875
P6179
1027024600