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| Originalsprache | undefiniert/unbekannt |
|---|---|
| Seiten (von - bis) | 123–126 |
| Fachzeitschrift | Current Directions in Biomedical Engineering |
| Jahrgang | 10 |
| Ausgabenummer | 4 |
| Publikationsstatus | Veröffentlicht - 1 Dez. 2024 |
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Core-Shell Capsule Image Segmentation through Deep Learning with Synthetic Training Data. / Budde, Leon; Dreger, Julia; Egger, Dominik et al.
in: Current Directions in Biomedical Engineering, Jahrgang 10, Nr. 4, 01.12.2024, S. 123–126.
in: Current Directions in Biomedical Engineering, Jahrgang 10, Nr. 4, 01.12.2024, S. 123–126.
Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review
Budde, L, Dreger, J, Egger, D & Seel, T 2024, 'Core-Shell Capsule Image Segmentation through Deep Learning with Synthetic Training Data', Current Directions in Biomedical Engineering, Jg. 10, Nr. 4, S. 123–126. https://doi.org/10.1515/cdbme-2024-2030
Budde, L., Dreger, J., Egger, D., & Seel, T. (2024). Core-Shell Capsule Image Segmentation through Deep Learning with Synthetic Training Data. Current Directions in Biomedical Engineering, 10(4), 123–126. https://doi.org/10.1515/cdbme-2024-2030
Budde L, Dreger J, Egger D, Seel T. Core-Shell Capsule Image Segmentation through Deep Learning with Synthetic Training Data. Current Directions in Biomedical Engineering. 2024 Dez 1;10(4):123–126. doi: 10.1515/cdbme-2024-2030
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doi = "10.1515/cdbme-2024-2030",
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T1 - Core-Shell Capsule Image Segmentation through Deep Learning with Synthetic Training Data
AU - Budde, Leon
AU - Dreger, Julia
AU - Egger, Dominik
AU - Seel, Thomas
PY - 2024/12/1
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