Improved ground truth annotation by multimodal image registration from 3D ultrasound to histopathology for resected tongue carcinoma
Multimodal image registration enabled the HTA's registration in the US images and improved the agreement and correlation between the modalities. In the future, this could be used to annotate ground truth labels accurately.
Authors
- L.H.E. Karssemakers (ORCID: https://orcid.org/0000-0002-0257-8709)
- Barış Karakullukçu (ORCID: https://orcid.org/0000-0002-1700-5743)
- Erienne M.V. de Cuba (ORCID: https://orcid.org/0000-0002-9852-7059)
- Maarten J. A. van Alphen (ORCID: https://orcid.org/0000-0002-3551-6707)
- N. M. Bekedam (ORCID: https://orcid.org/0000-0001-6506-7554)
- Ludi E. Smeele (ORCID: https://orcid.org/0000-0002-9961-4760)
Institutions
- Netherlands Cancer Institute-Antoni van Leeuwenhoek Hospital (NL)
- Vrije Universiteit Amsterdam (NL)
Publication Details
- Journal
- European Archives of Oto-Rhino-Laryngology
- Published
- 2024-09-30
- DOI
- https://doi.org/10.1007/s00405-024-08979-1
- Citations
- 1
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.40