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Artificial intelligence / Pattern recognition / K-means clustering / Semi-supervised learning / Statistical classification / Single-linkage clustering / Label / Machine learning / Computational statistics / Statistics


Label the many with a few: Semi-automatic medical image modality discovery in a large image collection Szil´ard Vajda, Daekeun You, Sameer K. Antani, George R. Thoma Lister Hill National Center for Biomedical Communicat
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Document Date: 2015-01-09 12:42:50


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City

Crete / New York / /

Company

Springer-Verlag New York Inc. / World Scientific Publishing Company / /

Country

United States / Greece / /

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Facility

National Library of Medicine / Biomedical Communications National Library of Medicine / U.S. National Library of Medicine / University of Wisconsin / Rockville Pike / /

IndustryTerm

experimental protocol / automatic labeling systems / neural network / learning systems / neural networks / chemical diagrams / neural gas network / search space / /

MusicGroup

X-ray / Ultrasound / Unknown / the Table / /

Organization

Medicine / and Lister Hill National Center for Biomedical Communications / National Institute of Health / Machine Perception and Artificial Intelligence / Lister Hill National Center for Biomedical Communications / George R. Thoma Lister Hill National Center / University of Wisconsin / /

Person

A. H. Toselli / V / R. Schroeder / /

Position

cluster representative / representative / /

ProvinceOrState

Wisconsin / Connecticut / /

RadioStation

EM FM / /

Technology

X-ray / neural network / artificial intelligence / magnetic resonance imaging / tomography / Ultrasound / experimental protocol / MeanShift algorithm / MRI / Medical Imaging / /

URL

http /

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