A case study of pre-processing strategies for robust deep learning segmentation of peripheral nerve fibers.
- DOI
- 10.1016/j.compbiomed.2026.112038
- Published
- 2026 Nov 9
- Container
- Computers in biology and medicine
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.compbiomed.2026.112038,
title = {A case study of pre-processing strategies for robust deep learning segmentation of peripheral nerve fibers.},
author = {Spaliński K and Jasionowska-Skop M and Kopka M and Kopka K and Spalińska A and Przelaskowski A},
year = {2026},
journal = {Computers in biology and medicine},
doi = {10.1016/j.compbiomed.2026.112038},
url = {https://doi.org/10.1016/j.compbiomed.2026.112038}
}RIS
TY - JOUR TI - A case study of pre-processing strategies for robust deep learning segmentation of peripheral nerve fibers. AU - Spaliński K AU - Jasionowska-Skop M AU - Kopka M AU - Kopka K AU - Spalińska A AU - Przelaskowski A PY - 2026 JO - Computers in biology and medicine DO - 10.1016/j.compbiomed.2026.112038 UR - https://doi.org/10.1016/j.compbiomed.2026.112038 ER -
APA
K, S., M, J., M, K., K, K., A, S., & A, P. (2026). A case study of pre-processing strategies for robust deep learning segmentation of peripheral nerve fibers.. Computers in biology and medicine. https://doi.org/10.1016/j.compbiomed.2026.112038
Source records
- pubmed · retrieved 2026-11-10T12:01:33.841Z