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Intra-Domain Adaptation for Robust Visual Guidance in Intratympanic Injections

Bano, Sophia; Shepherd, Luke M; Manjaly, Joseph G; Lindenroth, Lukas; Stoyanov, Danail; (2022) Intra-Domain Adaptation for Robust Visual Guidance in Intratympanic Injections. Presented at: 11th International Conference on New Technologies for Computer and Robot Assisted Surgery, Naples, Italy. Green open access

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Abstract

Intratympanic steroid injections are commonly used for the treatment of ear diseases. During this treatment, an expert Ear, Nose & Throat (ENT) clinician delivers the drug by viewing through a large microscope that provides a close-up view of the anatomical landmarks on the middle ear. A steady hand and swift response to any patient movement are required to avoid improper placement of the needle. To assist the clinician during this treatment, a fluidic soft robot is proposed in \cite{lindenroth2021fluidic} that can steer inside a lumen for providing steady guidance for drug delivery. For robust visual guidance, stable anatomical landmarks (tympanic membrane, malleus, umbo) segmentation is required. In this work, we perform intra-domain adaptation to learn a generalized model that provides stable and consistent segmentation on unseen patients and phantom ear data.

Type: Conference item (Presentation)
Title: Intra-Domain Adaptation for Robust Visual Guidance in Intratympanic Injections
Event: 11th International Conference on New Technologies for Computer and Robot Assisted Surgery
Location: Naples, Italy
Dates: 25 - 27 Apr 2022
Open access status: An open access version is available from UCL Discovery
Publisher version: https://cras-eu.org/cras-2022/
Language: English
UCL classification: UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL
URI: https://discovery.ucl.ac.uk/id/eprint/10157677
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