Automatic Landmark Localization in 3D Medical CT Images: Few-Shot Learning through Optimized Data Pre-Processing and Network Design-Reference-Cited by-同舟云学术

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Automatic Landmark Localization in 3D Medical CT Images: Few-Shot Learning through Optimized Data Pre-Processing and Network Design

Published:2023-09-22 Issue: Volume: Page:1-7
ISSN:
Container-title:Proceedings of the 2023 10th International Conference on Bioinformatics Research and Applications
language:
Short-container-title:

Author:

Wang Yifan¹^ORCID,Lenarz Thomas²^ORCID,Kral Andrej³^ORCID,John Samuel⁴^ORCID

Affiliation:

1. HorSys GmbH, Germany and Auditory Sciences PhD Program, Hannover Medical School, Germany

2. Department of Otolaryngology, Head & Neck Surgery, Hannover Medical School, Germany

3. Institute of AudioNeuroTechnology & Cluster of Excellence Hearing4all & Department of Experimental Otology, ENT Department, Hannover Medical School, Germany

4. HorSys GmbH, Germany

Funder

This project has received funding from the European Union?s Horizon 2020 research and innovation programme under the Marie Sk?odowska-Curie grant agreement No 860755.

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3632047.3632048

Reference30 articles.

1. Minimally Invasive Cochlear Implantation: First-in-Man of Patient-Specific Positioning Jigs

2. Practicable assessment of cochlear size and shape from clinical CT images

3. M. Pietsch L. Aguirre Dávila P. Erfurt E. Avci T. Lenarz and A. Kral. 2017. Spiral Form of the Human Cochlea Results from Spatial Constraints. Scientific Reports 7 (2017). DOI:https://doi.org/10.1038/s41598-017-07795-4

4. A Combined Corner and Edge Detector

5. Object recognition from local scale-invariant features

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