Thagaard, J.; Stovgaard, E.S.; Vognsen, L.G.; Hauberg, S.; Dahl, A.; Ebstrup, T.; Doré, J.; Vincentz, R.E.; Jepsen, R.K.; Roslind, A.;
et al. Automated Quantification of sTIL Density with H&E-Based Digital Image Analysis Has Prognostic Potential in Triple-Negative Breast Cancers. Cancers 2021, 13, 3050.
https://doi.org/10.3390/cancers13123050
AMA Style
Thagaard J, Stovgaard ES, Vognsen LG, Hauberg S, Dahl A, Ebstrup T, Doré J, Vincentz RE, Jepsen RK, Roslind A,
et al. Automated Quantification of sTIL Density with H&E-Based Digital Image Analysis Has Prognostic Potential in Triple-Negative Breast Cancers. Cancers. 2021; 13(12):3050.
https://doi.org/10.3390/cancers13123050
Chicago/Turabian Style
Thagaard, Jeppe, Elisabeth Specht Stovgaard, Line Grove Vognsen, Søren Hauberg, Anders Dahl, Thomas Ebstrup, Johan Doré, Rikke Egede Vincentz, Rikke Karlin Jepsen, Anne Roslind,
and et al. 2021. "Automated Quantification of sTIL Density with H&E-Based Digital Image Analysis Has Prognostic Potential in Triple-Negative Breast Cancers" Cancers 13, no. 12: 3050.
https://doi.org/10.3390/cancers13123050
APA Style
Thagaard, J., Stovgaard, E. S., Vognsen, L. G., Hauberg, S., Dahl, A., Ebstrup, T., Doré, J., Vincentz, R. E., Jepsen, R. K., Roslind, A., Kümler, I., Nielsen, D., & Balslev, E.
(2021). Automated Quantification of sTIL Density with H&E-Based Digital Image Analysis Has Prognostic Potential in Triple-Negative Breast Cancers. Cancers, 13(12), 3050.
https://doi.org/10.3390/cancers13123050