Výsledky vyhledávání - "Kaplathy-Cramer J"

Machine learning applications in head and neck radiation oncology

Autor: Elhalawani, H., Lin, T.A., Volpe, S., Mohamed, A.S.R., White, A.L., Zafereo, J., Wong, A.J., Berends, J.E., AboHashem, S., Williams, B., Aymard, J.M., Kanwar, A., Perni, S., Rock, C.D., Cooksey, L., Campbell, S., Yang, P., Nguyen, K., Ger, R.B., Cardenas, C.E., Fave, X.J., Sansone, C., Piantadosi, G., Marrone, S., Liu, R., Huang, C., Yu, K., Li, T., Yu, Y., Zhang, Y., Zhu, H., Morris, J.S., Baladandayuthapani, V., Shumway, J.W., Ghosh, A., Pöhlmann, A., Phoulady, H.A., Goyal, V., Canahuate, G., Marai, G.E., Vock, D., Lai, S.Y., Mackin, D.S., Court, L.E., Freymann, J., Farahani, K., Kaplathy-Cramer, J., Fuller, C.D.

Radiomics leverages existing image datasets to provide non-visible data extraction via image post-processing, with the aim of identifying prognostic, and predictive imaging features at a sub-region of interest level. However, the application of radio

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