Landsmann, A.; Wieler, J.; Hejduk, P.; Ciritsis, A.; Borkowski, K.; Rossi, C.; Boss, A.
Applied Machine Learning in Spiral Breast-CT: Can We Train a Deep Convolutional Neural Network for Automatic, Standardized and Observer Independent Classification of Breast Density? Diagnostics 2022, 12, 181.
https://doi.org/10.3390/diagnostics12010181
AMA Style
Landsmann A, Wieler J, Hejduk P, Ciritsis A, Borkowski K, Rossi C, Boss A.
Applied Machine Learning in Spiral Breast-CT: Can We Train a Deep Convolutional Neural Network for Automatic, Standardized and Observer Independent Classification of Breast Density? Diagnostics. 2022; 12(1):181.
https://doi.org/10.3390/diagnostics12010181
Chicago/Turabian Style
Landsmann, Anna, Jann Wieler, Patryk Hejduk, Alexander Ciritsis, Karol Borkowski, Cristina Rossi, and Andreas Boss.
2022. "Applied Machine Learning in Spiral Breast-CT: Can We Train a Deep Convolutional Neural Network for Automatic, Standardized and Observer Independent Classification of Breast Density?" Diagnostics 12, no. 1: 181.
https://doi.org/10.3390/diagnostics12010181
APA Style
Landsmann, A., Wieler, J., Hejduk, P., Ciritsis, A., Borkowski, K., Rossi, C., & Boss, A.
(2022). Applied Machine Learning in Spiral Breast-CT: Can We Train a Deep Convolutional Neural Network for Automatic, Standardized and Observer Independent Classification of Breast Density? Diagnostics, 12(1), 181.
https://doi.org/10.3390/diagnostics12010181