所属 研究施設 研究施設 職種 教授
|発表タイトル||Detecting and Tracking Surgical Tools for Recognizing Phases of the Awake Brain Tumor Removal Surgery|
|会議名||fthe 8th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2019)|
|発表者・共同発表者||FUJIE Hiroki†, HIRATA Keiju , HORIGOME Takahiro , NAGAHASHI Hiroshi , OHYA Jun, TAMURA Manabu, MASAMUNE Ken, MURAGAKI Yoshihiro|
|Prague, Czech Republic|
|学会抄録||In Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2019) 190-199|
|概要||Keywords: Computer Vision, Multiple Object Tracking, Detection, Data Association, Convolutional Neural Network,
Data Augmentation, Awake Brain Tumor Removal Surgery.
Abstract: In order to realize automatic recognition of surgical processes in surgical brain tumor removal using
microscopic camera, we propose a method of detecting and tracking surgical tools by video analysis. The
proposed method consists of a detection part and tracking part. In the detection part, object detection is
performed for each frame of surgery video, and the category and bounding box are acquired frame by frame.
The convolution layer strengthens the robustness using data augmentation (central cropping and random
erasing). The tracking part uses SORT, which predicts and updates the acquired bounding box corrected by
using Kalman Filter; next, the object ID is assigned to each corrected bounding box using the Hungarian
algorithm. The accuracy of our proposed method is very high as follows. As a result of experiments on spatial
detection. the mean average precision is 90.58%. the mean accuracy of frame label detection is 96.58%.
These results are very promising for surgical phase recognition.