Shavlokhova, V.; Sandhu, S.; Flechtenmacher, C.; Koveshazi, I.; Neumeier, F.; Padrón-Laso, V.; Jonke, Ž.; Saravi, B.; Vollmer, M.; Vollmer, A.;
et al. Deep Learning on Oral Squamous Cell Carcinoma Ex Vivo Fluorescent Confocal Microscopy Data: A Feasibility Study. J. Clin. Med. 2021, 10, 5326.
https://doi.org/10.3390/jcm10225326
AMA Style
Shavlokhova V, Sandhu S, Flechtenmacher C, Koveshazi I, Neumeier F, Padrón-Laso V, Jonke Ž, Saravi B, Vollmer M, Vollmer A,
et al. Deep Learning on Oral Squamous Cell Carcinoma Ex Vivo Fluorescent Confocal Microscopy Data: A Feasibility Study. Journal of Clinical Medicine. 2021; 10(22):5326.
https://doi.org/10.3390/jcm10225326
Chicago/Turabian Style
Shavlokhova, Veronika, Sameena Sandhu, Christa Flechtenmacher, Istvan Koveshazi, Florian Neumeier, VÃctor Padrón-Laso, Žan Jonke, Babak Saravi, Michael Vollmer, Andreas Vollmer,
and et al. 2021. "Deep Learning on Oral Squamous Cell Carcinoma Ex Vivo Fluorescent Confocal Microscopy Data: A Feasibility Study" Journal of Clinical Medicine 10, no. 22: 5326.
https://doi.org/10.3390/jcm10225326
APA Style
Shavlokhova, V., Sandhu, S., Flechtenmacher, C., Koveshazi, I., Neumeier, F., Padrón-Laso, V., Jonke, Ž., Saravi, B., Vollmer, M., Vollmer, A., Hoffmann, J., Engel, M., Ristow, O., & Freudlsperger, C.
(2021). Deep Learning on Oral Squamous Cell Carcinoma Ex Vivo Fluorescent Confocal Microscopy Data: A Feasibility Study. Journal of Clinical Medicine, 10(22), 5326.
https://doi.org/10.3390/jcm10225326