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1. The work is using source images by Lourenço BC, Guimarães-Teixeira C, Flores BCT, Miranda-Gonçalves V, Guimarães R, Cantante M, Cruz-Roa A, Gilmore H, Basavanhally A, Feldman M, Ganesan S, Shih NNC, Jerome Walker and Public Domain
495:– You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
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Major topics and processes of pathology informatics: Data management from molecular testing, slide scanning, digital imaging and image analysis, networks, databases and telepathology. See also:
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Ki67 and LSD1 Expression in
Testicular Germ Cell Tumors Is Not Associated with Patient Outcome: Investigation Using a Digital Pathology Algorithm.
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https://www.researchgate.net/figure/Illustrative-examples-of-Ki67-and-LSD1-immunoexpression-across-different-testicular-germ_fig2_358555198
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Accurate and reproducible invasive breast cancer detection in whole-slide images: A Deep
Learning approach for quantifying tumor extent.
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Lourenço BC, Guimarães-Teixeira C, Flores BCT, Miranda-Gonçalves V, Guimarães R, Cantante M (2022). "
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Figure 2 - available via license: Creative
Commons Attribution 4.0 International
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Cruz-Roa A, Gilmore H, Basavanhally A, Feldman M, Ganesan S, Shih NNC (2017). "
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410: None
400:Author info
137:Description
760:File usage
687:Dimensions
505:CC BY 4.0
27:File usage
839:37.78 dpc
831:37.78 dpc
779:Pathology
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684:Thumbnail
681:Date/Time
639:inception
441:Licensing
255:: 46450.
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81:image/png
815:Metadata
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352:Own work
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429:3. See
425:Vectors
286:5394452
250:Sci Rep
226:8875543
129:Summary
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431:Source
421:et al.
384:Author
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195:(2).
690:User
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418:M.D.
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280:PMC
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Text is available under the Creative Commons Attribution-ShareAlike License. Additional terms may apply.
