Grignaffini, F.; Troiano, M.; Barbuto, F.; Simeoni, P.; Mangini, F.; D’Andrea, G.; Piazzo, L.; Cantisani, C.; Musolff, N.; Ricciuti, C.;
et al. Anomaly Detection for Skin Lesion Images Using Convolutional Neural Network and Injection of Handcrafted Features: A Method That Bypasses the Preprocessing of Dermoscopic Images. Algorithms 2023, 16, 466.
https://doi.org/10.3390/a16100466
AMA Style
Grignaffini F, Troiano M, Barbuto F, Simeoni P, Mangini F, D’Andrea G, Piazzo L, Cantisani C, Musolff N, Ricciuti C,
et al. Anomaly Detection for Skin Lesion Images Using Convolutional Neural Network and Injection of Handcrafted Features: A Method That Bypasses the Preprocessing of Dermoscopic Images. Algorithms. 2023; 16(10):466.
https://doi.org/10.3390/a16100466
Chicago/Turabian Style
Grignaffini, Flavia, Maurizio Troiano, Francesco Barbuto, Patrizio Simeoni, Fabio Mangini, Gabriele D’Andrea, Lorenzo Piazzo, Carmen Cantisani, Noah Musolff, Costantino Ricciuti,
and et al. 2023. "Anomaly Detection for Skin Lesion Images Using Convolutional Neural Network and Injection of Handcrafted Features: A Method That Bypasses the Preprocessing of Dermoscopic Images" Algorithms 16, no. 10: 466.
https://doi.org/10.3390/a16100466
APA Style
Grignaffini, F., Troiano, M., Barbuto, F., Simeoni, P., Mangini, F., D’Andrea, G., Piazzo, L., Cantisani, C., Musolff, N., Ricciuti, C., & Frezza, F.
(2023). Anomaly Detection for Skin Lesion Images Using Convolutional Neural Network and Injection of Handcrafted Features: A Method That Bypasses the Preprocessing of Dermoscopic Images. Algorithms, 16(10), 466.
https://doi.org/10.3390/a16100466
