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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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| Publicat a: | Cancer Sci |
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| Autors principals: | , , , , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
John Wiley and Sons Inc.
2021
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| Matèries: | |
| Accés en línia: | 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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