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A Bayesian hidden Potts mixture model for analyzing lung cancer pathology images
Digital pathology imaging of tumor tissues, which captures histological details in high resolution, is fast becoming a routine clinical procedure. Recent developments in deep-learning methods have enabled the identification, characterization, and classification of individual cells from pathology ima...
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| Publicado no: | Biostatistics |
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| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6797059/ https://ncbi.nlm.nih.gov/pubmed/29788035 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/biostatistics/kxy019 |
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