Automated Surgical Instrument Detection from Laparoscopic Gastrectomy Video Images Using an Open Source Convolutional Neural Network Platform

The common use of laparoscopic interventions produces impressive amounts of video data that are difficult to review for surgeons wishing to evaluate and improve their skills. Therefore, a need exists for the development of computer-based analysis of laparoscopic videos to accelerate surgical training and assessment. We developed a surgical instrument detection system for video recordings of laparoscopic gastrectomy procedures. This system, whose use may increase the efficiency of the video reviewing process, is based on the open source neural network platform, YOLOv3.

Source: Journal of the American College of Surgeons - March 6, 2020 Category: Surgery Authors: Yuta Yamazaki, Shingo Kanaji, Takeru Matsuda, Taro Oshikiri, Tetsu Nakamura, Satoshi Suzuki, Yuta Hiasa, Yoshito Otake, Yoshinobu Sato, Yoshihiro Kakeji Tags: Original Scientific Article Source Type: research