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https://doi.org/10.21256/zhaw-29674| Publikationstyp: | Konferenz: Paper |
| Art der Begutachtung: | Peer review (Publikation) |
| Titel: | Rapid optical cytology with deep learning-based cell segmentation for diagnosis of thyroid lesions |
| Autor/-in: | Jermain, Peter R. Oswald, Martin Langdun, Tenzin Wright, Santana Khan, Ashraf Stadelmann, Thilo Abdulkadir, Ahmed Yaroslavsky, Ann N. |
| et. al: | No |
| DOI: | 10.21256/zhaw-29674 |
| Tagungsband: | Proceedings of the 2024 Optica Biophotonics Congress: Biomedical Optics |
| Angaben zur Konferenz: | Optica Biophotonics Congress: Biomedical Optics, Fort Lauderdale, USA, 7-10 April 2024 |
| Erscheinungsdatum: | 7-Apr-2024 |
| Verlag / Hrsg. Institution: | Optica Publishing Group |
| Sprache: | Englisch |
| Schlagwörter: | Deep learning; Medical imaging; Cancer therapy; AI |
| Fachgebiet (DDC): | 006: Spezielle Computerverfahren |
| Zusammenfassung: | We have developed and implemented a rapid, robust, and clinically viable protocol for fluorescence polarization cytopathology of thyroid nodules. The proposed approach utilizes rapid sample preparation and automated image analysis to accurately diagnose thyroid cancer. |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/29674 |
| Volltext Version: | Akzeptierte Version |
| Lizenz (gemäss Verlagsvertrag): | Lizenz gemäss Verlagsvertrag |
| Departement: | School of Engineering |
| Organisationseinheit: | Centre for Artificial Intelligence (CAI) |
| Enthalten in den Sammlungen: | Publikationen School of Engineering |
Dateien zu dieser Ressource:
| Datei | Beschreibung | Größe | Format | |
|---|---|---|---|---|
| 2024_Jermain-etal_Rapid-optical-cytology-deep-learning_BioMed.pdf | Accepted Version | 220.36 kB | Adobe PDF |  Öffnen/Anzeigen |
Zur Langanzeige
Jermain, P. R., Oswald, M., Langdun, T., Wright, S., Khan, A., Stadelmann, T., Abdulkadir, A., & Yaroslavsky, A. N. (2024, April 7). Rapid optical cytology with deep learning-based cell segmentation for diagnosis of thyroid lesions. Proceedings of the 2024 Optica Biophotonics Congress: Biomedical Optics. https://doi.org/10.21256/zhaw-29674
Jermain, P.R. et al. (2024) ‘Rapid optical cytology with deep learning-based cell segmentation for diagnosis of thyroid lesions’, in Proceedings of the 2024 Optica Biophotonics Congress: Biomedical Optics. Optica Publishing Group. Available at: https://doi.org/10.21256/zhaw-29674.
P. R. Jermain et al., “Rapid optical cytology with deep learning-based cell segmentation for diagnosis of thyroid lesions,” in Proceedings of the 2024 Optica Biophotonics Congress: Biomedical Optics, Apr. 2024. doi: 10.21256/zhaw-29674.
JERMAIN, Peter R., Martin OSWALD, Tenzin LANGDUN, Santana WRIGHT, Ashraf KHAN, Thilo STADELMANN, Ahmed ABDULKADIR und Ann N. YAROSLAVSKY, 2024. Rapid optical cytology with deep learning-based cell segmentation for diagnosis of thyroid lesions. In: Proceedings of the 2024 Optica Biophotonics Congress: Biomedical Optics. Conference paper. Optica Publishing Group. 7 April 2024
Jermain, Peter R., Martin Oswald, Tenzin Langdun, Santana Wright, Ashraf Khan, Thilo Stadelmann, Ahmed Abdulkadir, and Ann N. Yaroslavsky. 2024. “Rapid Optical Cytology with Deep Learning-Based Cell Segmentation for Diagnosis of Thyroid Lesions.” Conference paper. In Proceedings of the 2024 Optica Biophotonics Congress: Biomedical Optics. Optica Publishing Group. https://doi.org/10.21256/zhaw-29674.
Jermain, Peter R., et al. “Rapid Optical Cytology with Deep Learning-Based Cell Segmentation for Diagnosis of Thyroid Lesions.” Proceedings of the 2024 Optica Biophotonics Congress: Biomedical Optics, Optica Publishing Group, 2024, https://doi.org/10.21256/zhaw-29674.
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