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...
| Publicado en: | Biostatistics Vol. 20; no. 4; pp. 565 - 582 |
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| Autores principales: | , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Oxford University Press / USA
Oct2019
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| Acceso en línea: | Ver este registro en EBSCOhost |