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Reproducibility of the NEPTUNE descriptor-based scoring system on whole-slide images and histologic and ultrastructural digital images
Author(s) -
Laura Barisoni,
Jonathan P. Troost,
Cynthia C. Nast,
Serena M. Bagnasco,
Carmen AvilaCasado,
Jeffrey B. Hodgin,
Matthew R. Palmer,
Avi Z. Rosenberg,
Adil Gasim,
Chrysta Liensziewski,
Lino Merlino,
HuiPing Chien,
Anthony Chang,
Shane M. Meehan,
Joseph P. Gaut,
Peter Xuekun Song,
Lawrence B. Holzman,
Debbie Gibson,
Matthias Kretzler,
Brenda W. Gillespie,
Stephen M. Hewitt
Publication year - 2016
Publication title -
carolina digital repository (university of north carolina at chapel hill)
Language(s) - English
DOI - 10.17615/sgag-cb21
Subject(s) - reproducibility , neptune , ultrastructure , digital image analysis , computer science , digital image , geology , artificial intelligence , computer vision , astronomy , biology , anatomy , mathematics , physics , image processing , image (mathematics) , statistics , planet

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