Sehring, J.; Dohmen, H.; Selignow, C.; Schmid, K.; Grau, S.; Stein, M.; Uhl, E.; Mukhopadhyay, A.; Németh, A.; Amsel, D.;
et al. Leveraging Attention-Based Convolutional Neural Networks for Meningioma Classification in Computational Histopathology. Cancers 2023, 15, 5190.
https://doi.org/10.3390/cancers15215190
AMA Style
Sehring J, Dohmen H, Selignow C, Schmid K, Grau S, Stein M, Uhl E, Mukhopadhyay A, Németh A, Amsel D,
et al. Leveraging Attention-Based Convolutional Neural Networks for Meningioma Classification in Computational Histopathology. Cancers. 2023; 15(21):5190.
https://doi.org/10.3390/cancers15215190
Chicago/Turabian Style
Sehring, Jannik, Hildegard Dohmen, Carmen Selignow, Kai Schmid, Stefan Grau, Marco Stein, Eberhard Uhl, Anirban Mukhopadhyay, Attila Németh, Daniel Amsel,
and et al. 2023. "Leveraging Attention-Based Convolutional Neural Networks for Meningioma Classification in Computational Histopathology" Cancers 15, no. 21: 5190.
https://doi.org/10.3390/cancers15215190
APA Style
Sehring, J., Dohmen, H., Selignow, C., Schmid, K., Grau, S., Stein, M., Uhl, E., Mukhopadhyay, A., Németh, A., Amsel, D., & Acker, T.
(2023). Leveraging Attention-Based Convolutional Neural Networks for Meningioma Classification in Computational Histopathology. Cancers, 15(21), 5190.
https://doi.org/10.3390/cancers15215190