Large-scale computations on histology images reveal grade-differentiating parameters for breast cancer. - Wikidata - wikimedia - TriplyDB

Large-scale computations on histology images reveal grade-differentiating parameters for breast cancer.

Large-scale computations on histology images reveal grade-differentiating parameters for breast cancer.

http://www.wikidata.org/entity/Q33261853

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Isotropic 3D nuclear morphometry of normal, fibrocystic and malignant breast epithelial cells reveals new structural alterations A serial micropipette microfluidic device with applications to cancer cell repeated deformation studies.Histopathological image analysis: a review A fast and robust hepatocyte quantification algorithm including vein processing Semi-automatic identification of punching areas for tissue microarray building: the tubular breast cancer pilot study.Morphometic analysis of TCGA glioblastoma multiforme.Performance of a simple chromatin-rich segmentation algorithm in quantifying basal cell carcinoma from histology images Histology image analysis for carcinoma detection and grading.Multi-field-of-view framework for distinguishing tumor grade in ER+ breast cancer from entire histopathology slides.An automated segmentation approach for highlighting the histological complexity of human lung cancer Identification of tumor epithelium and stroma in tissue microarrays using texture analysis Stacked Sparse Autoencoder (SSAE) for Nuclei Detection on Breast Cancer Histopathology Images Increased Expression of Beige/Brown Adipose Markers from Host and Breast Cancer Cells Influence Xenograft Formation in Mice.A Framework for 3D Vessel Analysis using Whole Slide Images of Liver Tissue Sections.Invariant delineation of nuclear architecture in glioblastoma multiforme for clinical and molecular association Computer-aided Prognosis of Neuroblastoma on Whole-slide Images: Classification of Stromal Development.Spectrally encoded confocal microscopy for diagnosing breast cancer in excision and margin specimens.Fractal dimension and lacunarity of tumor microscopic images as prognostic indicators of clinical outcome in early breast cancer.A Novel CAD System for Mitosis detection Using Histopathology Slide Images.Automated image analysis of nuclear atypia in high-power field histopathological image.Computer-based image analysis in breast pathology.Improving the visualization and detection of tissue folds in whole slide images through color enhancement Efficient nucleus detector in histopathology images.Computer-aided diagnostics in digital pathology: automated evaluation of early-phase pancreatic cancer in mice.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.Comparison of Monofractal, Multifractal and gray level Co-occurrence matrix algorithms in analysis of Breast tumor microscopic images for prognosis of distant metastasis risk.AUTOMATED COLITIS DETECTION FROM ENDOSCOPIC BIOPSIES AS A TISSUE SCREENING TOOL IN DIAGNOSTIC PATHOLOGY.Grading of invasive breast carcinoma through Grassmannian VLAD encoding.A comparison of sampling strategies for histological image analysis.AUTOMATIC IDENTIFICATION AND DELINEATION OF GERM LAYER COMPONENTS IN H&E STAINED IMAGES OF TERATOMAS DERIVED FROM HUMAN AND NONHUMAN PRIMATE EMBRYONIC STEM CELLS.Automatic cellularity assessment from post-treated breast surgical specimens.Inferring cell state by quantitative motility analysis reveals a dynamic state system and broken detailed balance.Label-free cell nuclear imaging by Grüneisen relaxation photoacoustic microscopy.Computerized quantification of bone tissue and marrow in stained microscopic images.Computer-aided diagnosis system for classifying benign and malignant thyroid nodules in multi-stained FNAB cytological images.An expert support system for breast cancer diagnosis using color wavelet features.Radiogenomics analysis identifies correlations of digital mammography with clinical molecular signatures in breast cancer.1399 H&E-stained sentinel lymph node sections of breast cancer patients: the CAMELYON dataset.Evaluation of nucleus segmentation in digital pathology images through large scale image synthesis

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Large-scale computations on histology images reveal grade-differentiating parameters for breast cancer.

http://www.wikidata.org/entity/Q33261853

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2006 nî lūn-bûn

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2006 թուականի Հոկտեմբերին հրատարակուած գիտական յօդուած

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Large-scale computations on hi ...... parameters for breast cancer.

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Large-scale computations on hi ...... parameters for breast cancer.

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BMC Medical Imaging

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Large-scale computations on hi ...... parameters for breast cancer.

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Aydin Tozeren

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Constantine Katsinis

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Fernando U Garcia

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Marian M Haber

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Sokol Petushi

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P2860

Pathological prognostic factors in breast cancer. I. The value of histological grade in breast cancer: experience from a large study with long-term follow-up

Molecular profiling of human cancer.

Objective nuclear grading for node-negative breast cancer patients: comparison of quasi-3D and 2D image-analysis based on light microscopic images.

Quantitative nuclear morphometry by image analysis for prediction of recurrence of ductal carcinoma in situ of the breast.

The Nottingham Prognostic Index applied to 9,149 patients from the studies of the Danish Breast Cancer Cooperative Group (DBCG).

Histologic grading of breast cancer: linkage of patient outcome with level of pathologist agreement.

Associations between breast cancer susceptibility gene polymorphisms and clinicopathological features.

Automated cell nuclear segmentation in color images of hematoxylin and eosin-stained breast biopsy.

Computer-derived nuclear "grade" and breast cancer prognosis.

Computer-aided detection of breast cancer nuclei.

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10.1186/1471-2342-6-14

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1634843

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