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Machine Learning Based on Morphological Features Enables Classification of Primary Intestinal T-Cell Lymphomas
SIMPLE SUMMARY: We presented a machine learning approach for accurate quantification of nuclear morphometrics and differential diagnosis of primary intestinal T-cell lymphomas. The human interpretable machine learning approach can be easily applied to other lymphomas and potentially even broader dis...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8582405/ https://www.ncbi.nlm.nih.gov/pubmed/34771625 http://dx.doi.org/10.3390/cancers13215463 |