Mitosis detection in breast cancer histological images An ICPR 2012 contest. - Wikidata - awgldk - TriplyDB

Mitosis detection in breast cancer histological images An ICPR 2012 contest.

Mitosis detection in breast cancer histological images An ICPR 2012 contest.

http://www.wikidata.org/entity/Q34822663

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Adaptive Dimensionality Reduction with Semi-Supervision (AdDReSS): Classifying Multi-Attribute Biomedical Data.Accurate and reproducible invasive breast cancer detection in whole-slide images: A Deep Learning approach for quantifying tumor extent.Mitosis detection in breast cancer pathology images by combining handcrafted and convolutional neural network features.Using Automated Image Analysis Algorithms to Distinguish Normal, Aberrant, and Degenerate Mitotic Figures Induced by Eg5 Inhibition.Mitosis Counting in Breast Cancer: Object-Level Interobserver Agreement and Comparison to an Automatic Method.Automated Segmentation of Nuclei in Breast Cancer Histopathology Images.Invasive ductal breast carcinoma detector that is robust to image magnification in whole digital slides.Deep learning for digital pathology image analysis: A comprehensive tutorial with selected use cases Robust Nucleus/Cell Detection and Segmentation in Digital Pathology and Microscopy Images: A Comprehensive Review Mapping spatial heterogeneity in the tumor microenvironment: a new era for digital pathology.Imagining the future of bioimage analysis.Challenges and Benchmarks in Bioimage Analysis.Quantitative analysis of nuclear shape in oral squamous cell carcinoma is useful for predicting the chemotherapeutic response.A deep learning based strategy for identifying and associating mitotic activity with gene expression derived risk categories in estrogen receptor positive breast cancers.SlideJ: An ImageJ plugin for automated processing of whole slide images.Beyond immune density: critical role of spatial heterogeneity in estrogen receptor-negative breast cancer.A Multi-Classifier System for Automatic Mitosis Detection in Breast Histopathology Images Using Deep Belief Networks.Deep learning based tissue analysis predicts outcome in colorectal cancer.Image Montaging for Creating a Virtual Pathology Slide: An Innovative and Economical Tool to Obtain a Whole Slide Image.Machine Learning Methods for Histopathological Image Analysis Deep learning in robotics: a review of recent research

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P2860

Mitosis detection in breast cancer histological images An ICPR 2012 contest.

http://www.wikidata.org/entity/Q34822663

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2013 nî lūn-bûn

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2013 թուականի Մայիսին հրատարակուած գիտական յօդուած

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2013 թվականի մայիսին հրատարակված գիտական հոդված

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2013年の論文

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2013年論文

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2013年論文

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2013年論文

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2013年論文

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2013年論文

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name

Mitosis detection in breast cancer histological images An ICPR 2012 contest.

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Mitosis detection in breast cancer histological images An ICPR 2012 contest.

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Mitosis detection in breast cancer histological images An ICPR 2012 contest.

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Mitosis detection in breast cancer histological images An ICPR 2012 contest.

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Mitosis detection in breast cancer histological images An ICPR 2012 contest.

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Mitosis detection in breast cancer histological images An ICPR 2012 contest.

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Mitosis detection in breast cancer histological images An ICPR 2012 contest.

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Mitosis detection in breast cancer histological images An ICPR 2012 contest.

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Mitosis detection in breast cancer histological images An ICPR 2012 contest.

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2153-3539.112693

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Journal of pathology informatics

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Mitosis detection in breast cancer histological images An ICPR 2012 contest

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P2093

Catherine Genestie

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Daniel Racoceanu

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Frédérique Capron

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Gilles Le Naour

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Jacques Klossa

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Ludovic Roux

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Maria Kulikova

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Metin N Gurcan

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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

Histopathological image analysis: a review

Harmonic filters for 3D multichannel data: rotation invariant detection of mitoses in colorectal cancer.

Automated mitosis detection of stem cell populations in phase-contrast microscopy images.

Breast carcinoma malignancy grading by Bloom-Richardson system vs proliferation index: reproducibility of grade and advantages of proliferation index.

Computer-aided prognosis of neuroblastoma: detection of mitosis and karyorrhexis cells in digitized histological images.

Counting mitoses by image processing in Feulgen stained breast cancer sections: the influence of resolution.

A semi-Markov model for mitosis segmentation in time-lapse phase contrast microscopy image sequences of stem cell populations.

Multi-resolution graph-based analysis of histopathological whole slide images: application to mitotic cell extraction and visualization.

Mitotic figure recognition: agreement among pathologists and computerized detector.

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10.4103/2153-3539.112693

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4

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Nicolas Lomenie

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2013-05-30T00:00:00Z

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