Analysing attention convolutional neural network for surgical tool localisation: a feasibility study
Author: | Nour A. JalalORCiDGND, Herag ArabianORCiDGND, Tamer Abdulbaki AlshirbajiORCiDGND, Paul D. DochertyORCiDGND, Thomas Neumuth, Knut MöllerORCiDGND |
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URN: | https://urn:nbn:de:bsz:fn1-opus4-85721 |
DOI: | https://doi.org/10.1515/cdbme-2022-1140 |
ISSN: | 2364-5504 |
Parent Title (English): | Current Directions in Biomedical Engineering |
Document Type: | Article (peer-reviewed) |
Language: | English |
Year of Completion: | 2022 |
Release Date: | 2022/10/10 |
Tag: | Attention modules; Convolutional neural network (CNN); Surgical tool localisation |
Volume: | 8.2022 |
Issue: | 2 |
First Page: | 548 |
Last Page: | 551 |
Open-Access-Status: | Open Access |
Licence (German): | Creative Commons - CC BY - Namensnennung 4.0 International |