Hybel, T.E.; Jensen, S.H.; Rodrigues, M.A.; Hybel, T.E.; Pedersen, M.N.; Qvick, S.H.; Enemark, M.H.; Bill, M.; Rosenberg, C.A.; Ludvigsen, M.
Imaging Flow Cytometry and Convolutional Neural Network-Based Classification Enable Discrimination of Hematopoietic and Leukemic Stem Cells in Acute Myeloid Leukemia. Int. J. Mol. Sci. 2024, 25, 6465.
https://doi.org/10.3390/ijms25126465
AMA Style
Hybel TE, Jensen SH, Rodrigues MA, Hybel TE, Pedersen MN, Qvick SH, Enemark MH, Bill M, Rosenberg CA, Ludvigsen M.
Imaging Flow Cytometry and Convolutional Neural Network-Based Classification Enable Discrimination of Hematopoietic and Leukemic Stem Cells in Acute Myeloid Leukemia. International Journal of Molecular Sciences. 2024; 25(12):6465.
https://doi.org/10.3390/ijms25126465
Chicago/Turabian Style
Hybel, Trine Engelbrecht, Sofie Hesselberg Jensen, Matthew A. Rodrigues, Thomas Engelbrecht Hybel, Maya Nautrup Pedersen, Signe Håkansson Qvick, Marie Hairing Enemark, Marie Bill, Carina Agerbo Rosenberg, and Maja Ludvigsen.
2024. "Imaging Flow Cytometry and Convolutional Neural Network-Based Classification Enable Discrimination of Hematopoietic and Leukemic Stem Cells in Acute Myeloid Leukemia" International Journal of Molecular Sciences 25, no. 12: 6465.
https://doi.org/10.3390/ijms25126465
APA Style
Hybel, T. E., Jensen, S. H., Rodrigues, M. A., Hybel, T. E., Pedersen, M. N., Qvick, S. H., Enemark, M. H., Bill, M., Rosenberg, C. A., & Ludvigsen, M.
(2024). Imaging Flow Cytometry and Convolutional Neural Network-Based Classification Enable Discrimination of Hematopoietic and Leukemic Stem Cells in Acute Myeloid Leukemia. International Journal of Molecular Sciences, 25(12), 6465.
https://doi.org/10.3390/ijms25126465
