Comparison of segmentation algorithms for fluorescence microscopy images of cells. (Q51557979)

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4 February 2020

title

Comparison of segmentation algorithms for fluorescence microscopy images of cells (English)

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4 February 2020

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7

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4 February 2020

author name string

Alden A Dima

1

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4 February 2020

John T Elliott

2

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4 February 2020

James J Filliben

3

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4 February 2020

Michael Halter

4

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4 February 2020

Adele Peskin

5

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4 February 2020

Javier Bernal

6

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4 February 2020

Mary C Brady

8

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4 February 2020

Hai C Tang

9

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4 February 2020

Anne L Plant

10

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4 February 2020

publication date

14 June 2011

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4 February 2020

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4 February 2020

volume

79

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4 February 2020

issue

7

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4 February 2020

page(s)

545-559

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Phenotypic screening of small molecule libraries by high throughput cell imaging

4 February 2020

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Segmentation of whole cells and cell nuclei from 3-D optical microscope images using dynamic programming

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Segmentation of fluorescence microscopy images for quantitative analysis of cell nuclear architecture.

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Morphometric analysis of white matter lesions in MR images: method and validation

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Microscopic cell nuclei segmentation based on adaptive attention window

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Active mask segmentation of fluorescence microscope images

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Toward objective evaluation of image segmentation algorithms.

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Learning to detect natural image boundaries using local brightness, color, and texture cues.

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Comparison of quantitative methods for cell-shape analysis

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inferred from DOI database lookup

7 January 2021

based on heuristic

Tools for quantitative and validated measurements of cells

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inferred from DOI database lookup

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Simulating fluorescent microscope images of cell populations

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