Tracking-by-detection of surgical instruments in minimally invasive surgery via the convolutional neural network deep learning-based method-Reference-Cited by-同舟云学术

Tracking-by-detection of surgical instruments in minimally invasive surgery via the convolutional neural network deep learning-based method

Author:

Zhao Zijian¹,Voros Sandrine²,Weng Ying³,Chang Faliang¹,Li Ruijian⁴

Affiliation:

1. School of Control Science and Engineering, Shandong University, Jinan, China;

2. CNRS, INSERM, TIMC-IMAG, University Grenoble-Alpes, Grenoble, France;

3. School of Computer Science, Bangor University, Bangor, UK;

4. Department of cardiology, Qilu Hospital of Shandong University, Jinan, China

Funder

Specialized Research Fund

Promotive Research Fund for Excellent Young and Middle-aged Scientists of Shandong Province

National Natural Science Foundation of China

French National Research Agency

Publisher

Informa UK Limited

Subject

Family Practice,Computer Science Applications,Surgery

Link

Reference21 articles.

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