Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Beatrice van Amsterdam"'
Autor:
Beatrice van Amsterdam, Isabel Funke, Eddie Edwards, Stefanie Speidel, Justin Collins, Ashwin Sridhar, John Kelly, Matthew J. Clarkson, Danail Stoyanov
Publikováno v:
IEEE Transactions on Medical Imaging. 41:1677-1687
Automatically recognising surgical gestures from surgical data is an important building block of automated activity recognition and analytics, technical skill assessment, intra-operative assistance and eventually robotic automation. The complexity of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::75637cc328d6788dedcbfde561e0ce04
https://doi.org/10.1109/tmi.2022.3147640
https://doi.org/10.1109/tmi.2022.3147640
Autor:
Emanuele Colleoni, Dimitris Psychogyios, Beatrice Van Amsterdam, Francisco Vasconcelos, Danail Stoyanov
Publikováno v:
IEEE transactions on medical imaging. 41(11)
Surgical instrument segmentation can be used in a range of computer assisted interventions and automation in surgical robotics. While deep learning architectures have rapidly advanced the robustness and performance of segmentation models, most are st
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dd2cbb89e7855f8bbe9e0cb6ec26c9d0
https://pubmed.ncbi.nlm.nih.gov/35622799
https://pubmed.ncbi.nlm.nih.gov/35622799
Objective: Surgical activity recognition is a fundamental step in computer-assisted interventions. This paper reviews the state-of-the-art in methods for automatic recognition of fine-grained gestures in robotic surgery focusing on recent data-driven
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::df04ea2872d00be906e6b5d5ef81520f
Publikováno v:
ICRA
Surgical gesture recognition is important for surgical data science and computer-aided intervention. Even with robotic kinematic information, automatically segmenting surgical steps presents numerous challenges because surgical demonstrations are cha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::241905a49fafe6b24011a315bb664a10
http://arxiv.org/abs/2003.04772
http://arxiv.org/abs/2003.04772
Publikováno v:
ICRA
Kinematic trajectories recorded from surgical robots contain information about surgical gestures and potentially encode cues about surgeon's skill levels. Automatic segmentation of these trajectories into meaningful action units could help to develop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e5a22fbeeee4bcb5d7ffae0bdc2471b4