Dubuc, A.; Zitouni, A.; Thomas, C.; Kémoun, P.; Cousty, S.; Monsarrat, P.; Laurencin, S.
Improvement of Mucosal Lesion Diagnosis with Machine Learning Based on Medical and Semiological Data: An Observational Study. J. Clin. Med. 2022, 11, 6596.
https://doi.org/10.3390/jcm11216596
AMA Style
Dubuc A, Zitouni A, Thomas C, Kémoun P, Cousty S, Monsarrat P, Laurencin S.
Improvement of Mucosal Lesion Diagnosis with Machine Learning Based on Medical and Semiological Data: An Observational Study. Journal of Clinical Medicine. 2022; 11(21):6596.
https://doi.org/10.3390/jcm11216596
Chicago/Turabian Style
Dubuc, Antoine, Anissa Zitouni, Charlotte Thomas, Philippe Kémoun, Sarah Cousty, Paul Monsarrat, and Sara Laurencin.
2022. "Improvement of Mucosal Lesion Diagnosis with Machine Learning Based on Medical and Semiological Data: An Observational Study" Journal of Clinical Medicine 11, no. 21: 6596.
https://doi.org/10.3390/jcm11216596
APA Style
Dubuc, A., Zitouni, A., Thomas, C., Kémoun, P., Cousty, S., Monsarrat, P., & Laurencin, S.
(2022). Improvement of Mucosal Lesion Diagnosis with Machine Learning Based on Medical and Semiological Data: An Observational Study. Journal of Clinical Medicine, 11(21), 6596.
https://doi.org/10.3390/jcm11216596