Vásquez-Venegas, C.; Sotomayor, C.G.; Ramos, B.; Castañeda, V.; Pereira, G.; Cabrera-Vives, G.; Härtel, S.
Human-in-the-Loop—A Deep Learning Strategy in Combination with a Patient-Specific Gaussian Mixture Model Leads to the Fast Characterization of Volumetric Ground-Glass Opacity and Consolidation in the Computed Tomography Scans of COVID-19 Patients. J. Clin. Med. 2024, 13, 5231.
https://doi.org/10.3390/jcm13175231
AMA Style
Vásquez-Venegas C, Sotomayor CG, Ramos B, Castañeda V, Pereira G, Cabrera-Vives G, Härtel S.
Human-in-the-Loop—A Deep Learning Strategy in Combination with a Patient-Specific Gaussian Mixture Model Leads to the Fast Characterization of Volumetric Ground-Glass Opacity and Consolidation in the Computed Tomography Scans of COVID-19 Patients. Journal of Clinical Medicine. 2024; 13(17):5231.
https://doi.org/10.3390/jcm13175231
Chicago/Turabian Style
Vásquez-Venegas, Constanza, Camilo G. Sotomayor, Baltasar Ramos, VÃctor Castañeda, Gonzalo Pereira, Guillermo Cabrera-Vives, and Steffen Härtel.
2024. "Human-in-the-Loop—A Deep Learning Strategy in Combination with a Patient-Specific Gaussian Mixture Model Leads to the Fast Characterization of Volumetric Ground-Glass Opacity and Consolidation in the Computed Tomography Scans of COVID-19 Patients" Journal of Clinical Medicine 13, no. 17: 5231.
https://doi.org/10.3390/jcm13175231
APA Style
Vásquez-Venegas, C., Sotomayor, C. G., Ramos, B., Castañeda, V., Pereira, G., Cabrera-Vives, G., & Härtel, S.
(2024). Human-in-the-Loop—A Deep Learning Strategy in Combination with a Patient-Specific Gaussian Mixture Model Leads to the Fast Characterization of Volumetric Ground-Glass Opacity and Consolidation in the Computed Tomography Scans of COVID-19 Patients. Journal of Clinical Medicine, 13(17), 5231.
https://doi.org/10.3390/jcm13175231
