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A robust non-linear tissue-component discrimination method for computational pathology

Advances in digital pathology, specifically imaging instrumentation and data management, have allowed for the development of computational pathology tools with the potential for better, faster, and cheaper diagnosis, prognosis, and prediction of disease. Images of tissue sections frequently vary in...

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Bibliographic Details
Published in:Lab Invest
Main Authors: Sarnecki, Jacob S., Burns, Kathleen H., Wood, Laura D., Waters, Kevin M., Hruban, Ralph H., Wirtz, Denis, Wu, Pei-Hsun
Format: Artigo
Language:Inglês
Published: 2016
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Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC4808351/
https://ncbi.nlm.nih.gov/pubmed/26779829
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/labinvest.2015.162
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