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Prediction of genetic alterations from gastric cancer histopathology images using a fully automated deep learning approach
BACKGROUND: Studies correlating specific genetic mutations and treatment response are ongoing to establish an effective treatment strategy for gastric cancer (GC). To facilitate this research, a cost- and time-effective method to analyze the mutational status is necessary. Deep learning (DL) has bee...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Baishideng Publishing Group Inc
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8641056/ https://www.ncbi.nlm.nih.gov/pubmed/34908807 http://dx.doi.org/10.3748/wjg.v27.i44.7687 |