Development of a Deep Learning-Based Algorithm to Detect the Distal End of a Surgical Instrument

Development of a Deep Learning-Based Algorithm to Detect the Distal End of a Surgical Instrument

This work aims to develop an algorithm to detect the distal end of a surgical instrument using object detection with deep learning. We employed nine video recordings of carotid endarterectomies for training and testing. We obtained regions of interest (ROI; 32 × 32 pixels), at the end of the surgica...

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Bibliographic Details
Main Authors: Hiroyuki Sugimori, Taku Sugiyama, Naoki Nakayama, Akemi Yamashita, Katsuhiko Ogasawara
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Applied Sciences
Subjects:
object detection
deep learning
surgical video analysis
Online Access:https://www.mdpi.com/2076-3417/10/12/4245

Internet

https://www.mdpi.com/2076-3417/10/12/4245

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