Gomes Ataide, E.J.; Ponugoti, N.; Illanes, A.; Schenke, S.; Kreissl, M.; Friebe, M.
Thyroid Nodule Classification for Physician Decision Support Using Machine Learning-Evaluated Geometric and Morphological Features. Sensors 2020, 20, 6110.
https://doi.org/10.3390/s20216110
AMA Style
Gomes Ataide EJ, Ponugoti N, Illanes A, Schenke S, Kreissl M, Friebe M.
Thyroid Nodule Classification for Physician Decision Support Using Machine Learning-Evaluated Geometric and Morphological Features. Sensors. 2020; 20(21):6110.
https://doi.org/10.3390/s20216110
Chicago/Turabian Style
Gomes Ataide, Elmer Jeto, Nikhila Ponugoti, Alfredo Illanes, Simone Schenke, Michael Kreissl, and Michael Friebe.
2020. "Thyroid Nodule Classification for Physician Decision Support Using Machine Learning-Evaluated Geometric and Morphological Features" Sensors 20, no. 21: 6110.
https://doi.org/10.3390/s20216110
APA Style
Gomes Ataide, E. J., Ponugoti, N., Illanes, A., Schenke, S., Kreissl, M., & Friebe, M.
(2020). Thyroid Nodule Classification for Physician Decision Support Using Machine Learning-Evaluated Geometric and Morphological Features. Sensors, 20(21), 6110.
https://doi.org/10.3390/s20216110
