Automated mitosis detection in histopathology using morphological and multi-channel statistics features. - Wikidata - awgldk - TriplyDB

Automated mitosis detection in histopathology using morphological and multi-channel statistics features.

Automated mitosis detection in histopathology using morphological and multi-channel statistics features.

http://www.wikidata.org/entity/Q37006039

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Accurate and reproducible invasive breast cancer detection in whole-slide images: A Deep Learning approach for quantifying tumor extent.Computational pathology to discriminate benign from malignant intraductal proliferations of the breast 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.Intra- and inter-observer agreement in histological assessment of canine soft tissue sarcoma.Computer-based image analysis in breast pathology.Automatic extraction of cell nuclei from H&E-stained histopathological images.Clinically-inspired automatic classification of ovarian carcinoma subtypes.Nuclear spatial and spectral features based evolutionary method for meningioma subtypes classification in histopathology.Efficient and robust cell detection: A structured regression approach.BMCMDA: a novel model for predicting human microbe-disease associations via binary matrix completion

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Automated mitosis detection in histopathology using morphological and multi-channel statistics features.

http://www.wikidata.org/entity/Q37006039

description

article científic

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article scientifique

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articolo scientifico

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artigo científico

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bilimsel makale

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scientific article published on 30 May 2013

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vedecký článok

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Automated mitosis detection in ...... i-channel statistics features.

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Journal of pathology informatics

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Humayun Irshad

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Histological grading and prognosis in breast cancer; a study of 1409 cases of which 359 have been followed for 15 years

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

The problems and promise of central pathology review: development of a standardized procedure for the Children's Oncology Group.

Automated mitosis detection using texture, SIFT features and HMAX biologically inspired approach.

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

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

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