Automated segmentation of epidermis in high-frequency ultrasound of pathological skin using a cascade of DeepLab v3+ networks and fuzzy connectedness.
- DOI
- 10.1016/j.compmedimag.2021.102023
- Published
- 2021-12-02
- Container
- Comput Med Imaging Graph
- Publisher
- Not recorded
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.1016/j.compmedimag.2021.102023,
title = {Automated segmentation of epidermis in high-frequency ultrasound of pathological skin using a cascade of DeepLab v3+ networks and fuzzy connectedness.},
author = {Czajkowska J and Badura P and Korzekwa S and Płatkowska-Szczerek A.},
year = {2022},
journal = {Comput Med Imaging Graph},
doi = {10.1016/j.compmedimag.2021.102023},
url = {https://doi.org/10.1016/j.compmedimag.2021.102023}
}RIS
TY - JOUR TI - Automated segmentation of epidermis in high-frequency ultrasound of pathological skin using a cascade of DeepLab v3+ networks and fuzzy connectedness. AU - Czajkowska J AU - Badura P AU - Korzekwa S AU - Płatkowska-Szczerek A. PY - 2022 JO - Comput Med Imaging Graph DO - 10.1016/j.compmedimag.2021.102023 UR - https://doi.org/10.1016/j.compmedimag.2021.102023 ER -
APA
J, C., P, B., S, K., & A., P. (2022). Automated segmentation of epidermis in high-frequency ultrasound of pathological skin using a cascade of DeepLab v3+ networks and fuzzy connectedness.. Comput Med Imaging Graph. https://doi.org/10.1016/j.compmedimag.2021.102023
Source records
- europe-pmc · retrieved 2026-09-27T02:18:03.709Z