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Comprehensive analysis of lung cancer pathology images to discover tumor shape and boundary features that predict survival outcome

Pathology images capture tumor histomorphological details in high resolution. However, manual detection and characterization of tumor regions in pathology images is labor intensive and subjective. Using a deep convolutional neural network (CNN), we developed an automated tumor region recognition sys...

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書目詳細資料
發表在:Sci Rep
Main Authors: Wang, Shidan, Chen, Alyssa, Yang, Lin, Cai, Ling, Xie, Yang, Fujimoto, Junya, Gazdar, Adi, Xiao, Guanghua
格式: Artigo
語言:Inglês
出版: Nature Publishing Group UK 2018
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在線閱讀:https://ncbi.nlm.nih.gov/pmc/articles/PMC6039531/
https://ncbi.nlm.nih.gov/pubmed/29991684
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-018-27707-4
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