Comparative analysis of machine learning approaches to classify tumor mutation burden in lung adenocarcinoma using histopathology images
Abstract Both histologic subtypes and tumor mutation burden (TMB) represent important biomarkers in lung cancer, with implications for patient prognosis and treatment decisions. Typically, TMB is evaluated by comprehensive genomic profiling but this requires use of finite tissue specimens and costly...
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Autores principales: | , , , , , , , , , , , , , , , , , , |
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Formato: | article |
Lenguaje: | EN |
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Nature Portfolio
2021
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Acceso en línea: | https://doaj.org/article/bb85166704e240079299ad3d736a4fbb |
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