Details
| Original language | Undefined/Unknown |
|---|---|
| Pages (from-to) | 123–126 |
| Journal | Current Directions in Biomedical Engineering |
| Volume | 10 |
| Issue number | 4 |
| Publication status | Published - 1 Dec 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, Vol. 10, No. 4, 01.12.2024, p. 123–126.
In: Current Directions in Biomedical Engineering, Vol. 10, No. 4, 01.12.2024, p. 123–126.
Research output: Contribution to journal › Article › Research › 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, vol. 10, no. 4, pp. 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 Dec 1;10(4):123–126. doi: 10.1515/cdbme-2024-2030
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AU - Dreger, Julia
AU - Egger, Dominik
AU - Seel, Thomas
PY - 2024/12/1
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