Clinical use of machine learning‐based pathomics signature for diagnosis and survival prediction of bladder cancer

Traditional histopathology performed by pathologists by the naked eye is insufficient for accurate and efficient diagnosis of bladder cancer (BCa). We collected 643 H&E‐stained BCa images from Shanghai General Hospital and The Cancer Genome Atlas (TCGA). We constructed and cross‐verified automat...

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Vydáno v:Cancer Sci
Hlavní autoři: Chen, Siteng, Jiang, Liren, Zheng, Xinyi, Shao, Jialiang, Wang, Tao, Zhang, Encheng, Gao, Feng, Wang, Xiang, Zheng, Junhua
Médium: Artigo
Jazyk:Inglês
Vydáno: John Wiley and Sons Inc. 2021
Témata:
Original Articles
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC8253293/
https://ncbi.nlm.nih.gov/pubmed/33931925
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/cas.14927
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