Kuri, P.M.; Pion, E.; Mahl, L.; Kainz, P.; Schwarz, S.; Brochhausen, C.; Aung, T.; Haerteis, S.
Deep Learning-Based Image Analysis for the Quantification of Tumor-Induced Angiogenesis in the 3D In Vivo Tumor Model—Establishment and Addition to Laser Speckle Contrast Imaging (LSCI). Cells 2022, 11, 2321.
https://doi.org/10.3390/cells11152321
AMA Style
Kuri PM, Pion E, Mahl L, Kainz P, Schwarz S, Brochhausen C, Aung T, Haerteis S.
Deep Learning-Based Image Analysis for the Quantification of Tumor-Induced Angiogenesis in the 3D In Vivo Tumor Model—Establishment and Addition to Laser Speckle Contrast Imaging (LSCI). Cells. 2022; 11(15):2321.
https://doi.org/10.3390/cells11152321
Chicago/Turabian Style
Kuri, Paulina Mena, Eric Pion, Lina Mahl, Philipp Kainz, Siegfried Schwarz, Christoph Brochhausen, Thiha Aung, and Silke Haerteis.
2022. "Deep Learning-Based Image Analysis for the Quantification of Tumor-Induced Angiogenesis in the 3D In Vivo Tumor Model—Establishment and Addition to Laser Speckle Contrast Imaging (LSCI)" Cells 11, no. 15: 2321.
https://doi.org/10.3390/cells11152321
APA Style
Kuri, P. M., Pion, E., Mahl, L., Kainz, P., Schwarz, S., Brochhausen, C., Aung, T., & Haerteis, S.
(2022). Deep Learning-Based Image Analysis for the Quantification of Tumor-Induced Angiogenesis in the 3D In Vivo Tumor Model—Establishment and Addition to Laser Speckle Contrast Imaging (LSCI). Cells, 11(15), 2321.
https://doi.org/10.3390/cells11152321
