CATARACTS: Challenge on automatic tool annotation for cataRACT surgery-Reference-Cited by-同舟云学术

CATARACTS: Challenge on automatic tool annotation for cataRACT surgery

Published:2019-02 Issue: Volume:52 Page:24-41
ISSN:1361-8415
Container-title:Medical Image Analysis
language:en
Short-container-title:Medical Image Analysis

Author:

Al Hajj Hassan,Lamard Mathieu,Conze Pierre-Henri^ORCID,Roychowdhury Soumali,Hu Xiaowei^ORCID,Maršalkaitė Gabija,Zisimopoulos Odysseas,Dedmari Muneer Ahmad^ORCID,Zhao Fenqiang,Prellberg Jonas,Sahu Manish,Galdran Adrian^ORCID,Araújo Teresa^ORCID,Vo Duc My,Panda Chandan,Dahiya Navdeep,Kondo Satoshi,Bian Zhengbing,Vahdat Arash,Bialopetravičius Jonas,Flouty Evangello,Qiu Chenhui,Dill Sabrina,Mukhopadhyay Anirban,Costa Pedro,Aresta Guilherme^ORCID,Ramamurthy Senthil,Lee Sang-Woong^ORCID,Campilho Aurélio,Zachow Stefan,Xia Shunren,Conjeti Sailesh^ORCID,Stoyanov Danail^ORCID,Armaitis Jogundas,Heng Pheng-Ann,Macready William G.,Cochener Béatrice,Quellec Gwenolé^ORCID

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

Reference96 articles.

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

5. 3-D pose estimation of articulated instruments in robotic minimally invasive surgery;Allan;IEEE Trans. Med. Imaging,2018

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