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Interactive phenotyping of large-scale histology imaging data with HistomicsML

Whole-slide imaging of histologic sections captures tissue microenvironments and cytologic details in expansive high-resolution images. These images can be mined to extract quantitative features that describe tissues, yielding measurements for hundreds of millions of histologic objects. A central ch...

詳細記述

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書誌詳細
出版年:Sci Rep
主要な著者: Nalisnik, Michael, Amgad, Mohamed, Lee, Sanghoon, Halani, Sameer H., Velazquez Vega, Jose Enrique, Brat, Daniel J., Gutman, David A., Cooper, Lee A. D.
フォーマット: Artigo
言語:Inglês
出版事項: Nature Publishing Group UK 2017
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC5674015/
https://ncbi.nlm.nih.gov/pubmed/29109450
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-017-15092-3
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