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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...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6039531/ https://www.ncbi.nlm.nih.gov/pubmed/29991684 http://dx.doi.org/10.1038/s41598-018-27707-4 |