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JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION (2017)
QuPath: Open source software for digital pathology image analysis
Peter Bankhead et al.
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Raphael Maree et al.
BIOINFORMATICS (2016)
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Anant Madabhushi et al.
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The Cancer Genome Atlas Pan-Cancer analysis project
John N. Weinstein et al.
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Laoighse Mulrane et al.
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