Bachmann, B.-I.; Müller, M.; Stiefel, M.; Britz, D.; Staudt, T.; Mücklich, F.
Efficient Phase Segmentation of Light-Optical Microscopy Images of Highly Complex Microstructures Using a Correlative Approach in Combination with Deep Learning Techniques. Metals 2024, 14, 1051.
https://doi.org/10.3390/met14091051
AMA Style
Bachmann B-I, Müller M, Stiefel M, Britz D, Staudt T, Mücklich F.
Efficient Phase Segmentation of Light-Optical Microscopy Images of Highly Complex Microstructures Using a Correlative Approach in Combination with Deep Learning Techniques. Metals. 2024; 14(9):1051.
https://doi.org/10.3390/met14091051
Chicago/Turabian Style
Bachmann, Björn-Ivo, Martin Müller, Marie Stiefel, Dominik Britz, Thorsten Staudt, and Frank Mücklich.
2024. "Efficient Phase Segmentation of Light-Optical Microscopy Images of Highly Complex Microstructures Using a Correlative Approach in Combination with Deep Learning Techniques" Metals 14, no. 9: 1051.
https://doi.org/10.3390/met14091051
APA Style
Bachmann, B. -I., Müller, M., Stiefel, M., Britz, D., Staudt, T., & Mücklich, F.
(2024). Efficient Phase Segmentation of Light-Optical Microscopy Images of Highly Complex Microstructures Using a Correlative Approach in Combination with Deep Learning Techniques. Metals, 14(9), 1051.
https://doi.org/10.3390/met14091051