Real-time estimation of the remaining surgery duration for cataract surgery using deep convolutional neural networks and long short-term memory
Bowen Wang, Liangzhi Li, n̆derlineYuta Nakashima, Ryo Kawasaki, Hajime Nagahara
May 2023
概要
Estimating the surgery length has the potential to be utilized as skill assessment, surgical training, or efficient surgical facility utilization especially if it is done in real-time as a remaining surgery duration (RSD). Surgical length reflects a certain level of efficiency and mastery of the surgeon in a well-standardized surgery such as cataract surgery. In this paper, we design and develop a real-time RSD estimation method for cataract surgery that does not require manual labeling and is transferable with minimum fine-tuning.
収録
BMC Medical Informatics and Decision Making
招へい助教
His research interests lie in deep learning, computer vision, robotics, and medical images.
教授
コンピューテーショナルフォトグラフィ、コンピュータビジョンを専門とし実世界センシングや情報処理技術、画像認識技術の研究を行う。さらに、画像センシングにとどまらず様々なセンサに拡張したコンピュテーショナルセンシング手法の開発や高次元で冗長な実世界ビッグデータから意味のある情報を計測するスパースセンシングへの転換を目指す。