Zobrazeno 1 - 10
of 386
pro vyhledávání: '"da Cruz, Lyndon"'
Autor:
White, Judith, Knight, Laura, da Cruz, Lyndon, Stanga, Paulo E, Patrick, Hannah, Powell, Helen, Berry, Lee, Withers, Kathleen, Carolan-Rees, Grace, Jackson, Timothy L
Publikováno v:
JMIR Research Protocols, Vol 10, Iss 1, p e17436 (2021)
BackgroundRetinitis pigmentosa is an incurable, degenerative retinal condition causing progressive sight loss, significantly affecting patients’ quality of life. The Argus II Retinal Prosthesis is a surgically implanted medical device that delivers
Externí odkaz:
https://doaj.org/article/e9674b970c064db3be4b3e977199d2d7
We present a robust theoretical framework for the characterisation and manipulation of optical flow, i.e 2D vector fields, in the context of their use in motion estimation algorithms and beyond. The definition of two frames of reference guides the ma
Externí odkaz:
http://arxiv.org/abs/2210.05635
This work considers supervised contrastive learning for semantic segmentation. We apply contrastive learning to enhance the discriminative power of the multi-scale features extracted by semantic segmentation networks. Our key methodological insight i
Externí odkaz:
http://arxiv.org/abs/2203.13409
Autor:
Luengo, Imanol, Grammatikopoulou, Maria, Mohammadi, Rahim, Walsh, Chris, Nwoye, Chinedu Innocent, Alapatt, Deepak, Padoy, Nicolas, Ni, Zhen-Liang, Fan, Chen-Chen, Bian, Gui-Bin, Hou, Zeng-Guang, Ha, Heonjin, Wang, Jiacheng, Wang, Haojie, Guo, Dong, Wang, Lu, Wang, Guotai, Islam, Mobarakol, Giddwani, Bharat, Hongliang, Ren, Pissas, Theodoros, Ravasio, Claudio, Huber, Martin, Birch, Jeremy, Rio, Joan M. Nunez Do, da Cruz, Lyndon, Bergeles, Christos, Chen, Hongyu, Jia, Fucang, KumarTomar, Nikhil, Jha, Debesh, Riegler, Michael A., Halvorsen, Pal, Bano, Sophia, Vaghela, Uddhav, Hong, Jianyuan, Ye, Haili, Huang, Feihong, Wang, Da-Han, Stoyanov, Danail
Surgical scene segmentation is essential for anatomy and instrument localization which can be further used to assess tissue-instrument interactions during a surgical procedure. In 2017, the Challenge on Automatic Tool Annotation for cataRACT Surgery
Externí odkaz:
http://arxiv.org/abs/2110.10965
Autor:
da Cruz, Lyndon1,2,3,4 (AUTHOR) lyndon.dacruz1@nhs.net, Soomro, Taha1,2,3 (AUTHOR) odgeorgiadis@gmail.com, Georgiadis, Odysseas1,2,3 (AUTHOR) bnommiste@tenpoint-tx.com, Nommiste, Britta1 (AUTHOR) p.coffey@ucl.ac.uk, Sagoo, Mandeep S.2,3 (AUTHOR), Coffey, Peter1,2,5 (AUTHOR)
Publikováno v:
Diagnostics (2075-4418). May2024, Vol. 14 Issue 10, p1005. 14p.
Our work proposes neural network design choices that set the state-of-the-art on a challenging public benchmark on cataract surgery, CaDIS. Our methodology achieves strong performance across three semantic segmentation tasks with increasingly granula
Externí odkaz:
http://arxiv.org/abs/2108.06119
Akademický článek
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Publikováno v:
In Mechanism and Machine Theory May 2022 171
Akademický článek
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Autor:
Cehajic-Kapetanovic, Jasmina, Bellini, Marco P., Taylor, Laura J., Yusuf, Imran H., Soomro, Taha, da Cruz, Lyndon, MacLaren, Robert E.
Publikováno v:
Efficacy & Mechanism Evaluation (EME); May2024, Vol. 11 Issue 9, p1-39, 63p