Improving real-time detection of laryngeal lesions in endoscopic images using a decoupled super-resolution enhanced YOLO.

MLA

Baldini, Chiara, et al. “Improving Real-Time Detection of Laryngeal Lesions in Endoscopic Images Using a Decoupled Super-Resolution Enhanced YOLO.” Computer Methods and Programs in Biomedicine, vol. 260, Mar. 2025, p. 108539. EBSCOhost, https://doi.org/10.1016/j.cmpb.2024.108539.

APA

Baldini, C., Migliorelli, L., Berardini, D., Azam, M. A., Sampieri, C., Ioppi, A., Srivastava, R., Peretti, G., & Mattos, L. S. (2025). Improving real-time detection of laryngeal lesions in endoscopic images using a decoupled super-resolution enhanced YOLO. Computer Methods and Programs in Biomedicine, 260, 108539. https://doi.org/10.1016/j.cmpb.2024.108539

Chicago

Baldini, Chiara, Lucia Migliorelli, Daniele Berardini, Muhammad Adeel Azam, Claudio Sampieri, Alessandro Ioppi, Rakesh Srivastava, Giorgio Peretti, and Leonardo S Mattos. 2025. “Improving Real-Time Detection of Laryngeal Lesions in Endoscopic Images Using a Decoupled Super-Resolution Enhanced YOLO.” Computer Methods and Programs in Biomedicine 260 (March): 108539. doi:10.1016/j.cmpb.2024.108539.