Detecting and tracking surgical tools for recognizing phases of the awake brain tumor removal surgery

Hiroki Fujie, Keiju Hirata, Takahiro Horigome, Hiroshi Nagahashi, Jun Ohya, Manabu Tamura, Ken Masamune, Yoshihiro Muragaki

研究成果: Conference contribution

抄録

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.

本文言語English
ホスト出版物のタイトルICPRAM 2019 - Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods
編集者Maria De Marsico, Gabriella Sanniti di Baja, Ana Fred
出版社SciTePress
ページ190-199
ページ数10
ISBN(電子版)9789897583513
DOI
出版ステータスPublished - 2019
イベント8th International Conference on Pattern Recognition Applications and Methods, ICPRAM 2019 - Prague, Czech Republic
継続期間: 2019 2月 192019 2月 21

出版物シリーズ

名前ICPRAM 2019 - Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods

Conference

Conference8th International Conference on Pattern Recognition Applications and Methods, ICPRAM 2019
国/地域Czech Republic
CityPrague
Period19/2/1919/2/21

ASJC Scopus subject areas

  • コンピュータ ビジョンおよびパターン認識

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