Vision-based and marker-less surgical tool detection and tracking: a review of the literature
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- 作者：David Bouget ; 1 ; a ; bougetd@gmail.com" class="auth_mail" title="E-mail the corresponding author ; Max Allanb ; maximilian.allan.11@ucl.ac.uk" class="auth_mail" title="E-mail the corresponding author ; Danail Stoyanovb ; danail.stoyanov@ucl.ac.uk" class="auth_mail" title="E-mail the corresponding author ; Pierre Jannina ; pierre.jannin@univ-rennes1.fr" class="auth_mail" title="E-mail the corresponding author
- 关键词：Tool detection ; Object detection ; Data-set ; Validation ; Endoscopic/microscopic images
- 刊名：Medical Image Analysis
- 出版年：2017
- 出版时间：January 2017
- 年：2017
- 卷：35
- 期：Complete
- 页码：633-654
- 全文大小：3475 K
文摘
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In-depth state-of-the-art review of surgical tool detection from 24 recent papers.
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Lack of a standard format regarding datasets employed and corresponding annotations.
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Comprehensive highlighting of advantages and disadvantages of existing methods.
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Limited consensus on a common reference format within validation methodologies.