YOLOv7‐RepFPN: Improving real‐time performance of laparoscopic tool detection on embedded systems
Yuzhang Liu,
Yuichiro Hayashi,
Masahiro Oda
et al.
Abstract:This study focuses on enhancing the inference speed of laparoscopic tool detection on embedded devices. Laparoscopy, a minimally invasive surgery technique, markedly reduces patient recovery times and postoperative complications. Real‐time laparoscopic tool detection helps assisting laparoscopy by providing information for surgical navigation, and its implementation on embedded devices is gaining interest due to the portability, network independence and scalability of the devices. However, embedded devices oft… Show more
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