Sailer, M., Schiller, F., Falk, T., Jud, A., Lang, S. A., Ruf, J., & Mix, M. [ca. 2024]. Prediction of the histopathological tumor type of newly diagnosed liver lesions from standard abdominal computer tomography with a machine-learning classifier based on convolutional neural networks [Cd]. Freiburg: Universität. https://doi.org/10.1515/cdbme-2021-1032

SAILER, Maria, SCHILLER, Florian, FALK, Thorsten, JUD, Andreas, LANG, Sven Arke, RUF, Juri und MIX, Michael, 2024. Prediction of the histopathological tumor type of newly diagnosed liver lesions from standard abdominal computer tomography with a machine-learning classifier based on convolutional neural networks. Freiburg: Universität.

Sailer, M., F. Schiller, T. Falk, A. Jud, S. A. Lang, J. Ruf, und M. Mix. Prediction of the histopathological tumor type of newly diagnosed liver lesions from standard abdominal computer tomography with a machine-learning classifier based on convolutional neural networks. cd, Universität, 2024, https://doi.org/10.1515/cdbme-2021-1032.

Sailer, Maria/Schiller, Florian/Falk, Thorsten/Jud, Andreas/Lang, Sven Arke/Ruf, Juri u. a.: Prediction of the histopathological tumor type of newly diagnosed liver lesions from standard abdominal computer tomography with a machine-learning classifier based on convolutional neural networks, Freiburg 2024.

Sailer, M., Schiller, F., Falk, T., Jud, A., Lang, S.A., Ruf, J. und Mix, M. (2024), Prediction of the histopathological tumor type of newly diagnosed liver lesions from standard abdominal computer tomography with a machine-learning classifier based on convolutional neural networks, Bd. , Universität, Freiburg, verfügbar unter:https://doi.org/10.1515/cdbme-2021-1032.