New breast cancer prognostic factors identified by computer-aided image analysis of HE stained histopathology images

Computer-aided image analysis (CAI) can help objectively quantify morphologic features of hematoxylin-eosin (HE) histopathology images and provide potentially useful prognostic information on breast cancer. We performed a CAI workflow on 1,150 HE images from 230 patients with invasive ductal carcino...

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Bibliografische gegevens
Gepubliceerd in:Sci Rep
Hoofdauteurs: Chen, Jia-Mei, Qu, Ai-Ping, Wang, Lin-Wei, Yuan, Jing-Ping, Yang, Fang, Xiang, Qing-Ming, Maskey, Ninu, Yang, Gui-Fang, Liu, Juan, Li, Yan
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: Nature Publishing Group 2015
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Article
Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC4448264/
https://ncbi.nlm.nih.gov/pubmed/26022540
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/srep10690
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