Detection, segmentation, and 3D pose estimation of surgical tools using convolutional neural networks and algebraic geometry

Author:

Hasan Md. Kamrul,Calvet Lilian,Rabbani Navid,Bartoli AdrienORCID

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference57 articles.

1. 2d/3d real-time tracking of surgical instruments based on endoscopic image processing;Agustinos,2015

2. Monitoring tool usage in surgery videos using boosted convolutional and recurrent neural networks;Al Hajj;Med. Image Anal.,2018

3. AliceVision, 2018. Meshroom: a 3D reconstruction software. URL: https://github.com/alicevision/

4. Image based surgical instrument pose estimation with multi-class labelling and optical flow;Allan,2015

5. Toward detection and localization of instruments in minimally invasive surgery;Allan;IEEE Trans. Biomed. Eng.,2012

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