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How to Collect Segmentations for Biomedical Images? A Benchmark Evaluating the Performance of Experts, Crowdsourced Non-Experts, and Algorithms Danna Gurari, Diane Theriault, Mehrnoosh Sameki, Brett Isenberg, Tuan A. Pha
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Document Date: 2015-02-15 09:06:03


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File Size: 1,50 MB

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City

Natick / Bethesda / /

Company

Mathworks Inc. / Amazon / Philips / /

Country

United States / /

Currency

USD / /

Facility

Boston University Biomedical Image Library / University Abstract Analyses / Boston University / Wistar Institute / Biomedical Image Library / /

IndustryTerm

on-line image annotation tool / untrained internet workers / segmentation algorithms / web-based tool / software platform / online annotation systems / image analysis systems / free software / magnetic resonance imaging / annotation tool / biological structures using annotation software / imaging / important tool / laboratory protocol / Level-set based algorithms / bioimage analysis systems / internet workers / internet marketplace / image segmentation algorithms / particular biomedical image acquisition systems / segmentation tools / automated segmentation algorithms / ensemble algorithm / segmentation algorithm / real-time algorithm / analyses that suggest which algorithms / computer annotation tools / touch pad tool / /

Organization

Wistar Institute / National Science Foundation / Boston University / /

Person

Alberto Purwada / Danna Gurari / Crowdsourced Non-Experts / Diane Theriault / Joyce Y. Wong / Matthew Walker / Otsu Thresholding / Mehrnoosh Sameki / Patricia Solski / Brett Isenberg / Algorithms Danna Gurari / Cybern / Tuan A. Pham / /

Position

internet worker / Representative / /

Product

iPad / /

ProvinceOrState

Maryland / /

PublishedMedium

Machine Learning / Nature Neuroscience / /

Technology

freely-shared algorithms / Neuroscience / Bioinformatics / touch pad / laboratory protocol / Machine Learning / Image Processing / MRI / image segmentation algorithms / automated segmentation algorithms / biomaterials / real-time algorithm / six segmentation algorithms / segmentation algorithms / six tested algorithms / six algorithms / magnetic resonance imaging / Level-set based algorithms / segmentation algorithm / ensemble algorithm / studied algorithms / /

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http /

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