Automatic extraction of cell nuclei from H&E-stained histopathological images.

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Automatic extraction of cell nuclei from H&E-stained histopathological images.

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2017 nî lūn-bûn

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2017年の論文

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2017年学术文章

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Automatic extraction of cell nuclei from H&E-stained histopathological images.

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Automatic extraction of cell nuclei from H&E-stained histopathological images.

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prefLabel

Automatic extraction of cell nuclei from H&E-stained histopathological images.

@en

P1476

Automatic extraction of cell nuclei from H&E-stained histopathological images.

@en

P2093

Faliu Yi

http://www.w3.org/2001/XMLSchema#string

Guanghua Xiao

http://www.w3.org/2001/XMLSchema#string

Junzhou Huang

http://www.w3.org/2001/XMLSchema#string

Lin Yang

http://www.w3.org/2001/XMLSchema#string

Yang Xie

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P2860

Histopathological image analysis: a review

A hybrid 3D watershed algorithm incorporating gradient cues and object models for automatic segmentation of nuclei in confocal image stacks.

Extraction of target specimens from bioholographic images using interactive graph cuts.

Automatic nuclei segmentation in H&E stained breast cancer histopathology images.

Breast cancer histopathology image analysis: a review.

A nonlinear mapping approach to stain normalization in digital histopathology images using image-specific color deconvolution.

Mitosis detection in breast cancer pathology images by combining handcrafted and convolutional neural network features.

Computational hepatocellular carcinoma tumor grading based on cell nuclei classification.

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

Automated image analysis in histopathology: a valuable tool in medical diagnostics.

P304

027502

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P31

scholarly article

P356

10.1117/1.JMI.4.2.027502

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P433

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P478

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P577

2017-04-01T00:00:00Z

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28653017

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P932

5478972

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