AutoTag and AutoSnap: Standardized, semi-automatic capture of regions of interest from whole slide images.

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Development and Validation of a Histological Method to Measure Microvessel Density in Whole-Slide Images of Cancer Tissue.Tumor Microvessel Density as a Potential Predictive Marker for Bevacizumab Benefit: GOG-0218 Biomarker Analyses.

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P2860

AutoTag and AutoSnap: Standardized, semi-automatic capture of regions of interest from whole slide images.

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2015 nî lūn-bûn

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2015年論文

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2015年論文

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2015年論文

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2015年論文

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2015年論文

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AutoTag and AutoSnap: Standard ...... erest from whole slide images.

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AutoTag and AutoSnap: Standard ...... erest from whole slide images.

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P2093

Luc Andries

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Mark M Kockx

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Stefanie De Schepper

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P2860

Angiogenesis in breast cancer: a comparative study of the observer variability of methods for determining microvessel density.

Automatic identification of angiogenesis in double stained images of liver tissue.

Second international consensus on the methodology and criteria of evaluation of angiogenesis quantification in solid human tumours.

RandomSpot: A web-based tool for systematic random sampling of virtual slides.

Histological quantitation of tumour angiogenesis.

Current pathologic methods for measuring intratumoral microvessel density within breast carcinoma and other solid tumors.

Visualisation and stereological assessment of blood and lymphatic vessels.

Some new, simple and efficient stereological methods and their use in pathological research and diagnosis.

Quantification of angiogenesis in solid human tumours: an international consensus on the methodology and criteria of evaluation.

The clinical significance of lymphangiogenesis and angiogenesis in non-small cell lung cancer patients.

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272-277

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scholarly article

P356

10.1016/J.MEX.2015.05.002

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Guido De Meyer

Koen M Marien

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2015-05-21T00:00:00Z

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277026670

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26150998

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automation

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4487922

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AutoTag and AutoSnap: Standardized, semi-automatic capture of regions of interest from whole slide images.

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P2860

P2860

AutoTag and AutoSnap: Standardized, semi-automatic capture of regions of interest from whole slide images.

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