Cavazzana, R.; Faccia, A.; Cavallaro, A.; Giuranno, M.; Becchi, S.; Innocente, C.; Marullo, G.; Ricci, E.; Secco, J.; Vezzetti, E.;
et al. Enhancing Clinical Assessment of Skin Ulcers with Automated and Objective Convolutional Neural Network-Based Segmentation and 3D Analysis. Appl. Sci. 2025, 15, 833.
https://doi.org/10.3390/app15020833
AMA Style
Cavazzana R, Faccia A, Cavallaro A, Giuranno M, Becchi S, Innocente C, Marullo G, Ricci E, Secco J, Vezzetti E,
et al. Enhancing Clinical Assessment of Skin Ulcers with Automated and Objective Convolutional Neural Network-Based Segmentation and 3D Analysis. Applied Sciences. 2025; 15(2):833.
https://doi.org/10.3390/app15020833
Chicago/Turabian Style
Cavazzana, Rosanna, Angelo Faccia, Aurora Cavallaro, Marco Giuranno, Sara Becchi, Chiara Innocente, Giorgia Marullo, Elia Ricci, Jacopo Secco, Enrico Vezzetti,
and et al. 2025. "Enhancing Clinical Assessment of Skin Ulcers with Automated and Objective Convolutional Neural Network-Based Segmentation and 3D Analysis" Applied Sciences 15, no. 2: 833.
https://doi.org/10.3390/app15020833
APA Style
Cavazzana, R., Faccia, A., Cavallaro, A., Giuranno, M., Becchi, S., Innocente, C., Marullo, G., Ricci, E., Secco, J., Vezzetti, E., & Ulrich, L.
(2025). Enhancing Clinical Assessment of Skin Ulcers with Automated and Objective Convolutional Neural Network-Based Segmentation and 3D Analysis. Applied Sciences, 15(2), 833.
https://doi.org/10.3390/app15020833