DU-KAN: A Dual-Domain Enhanced Deep-Learning Framework for Digital Pathology-Based Oxford MEST-C Assessment in Pediatric IgA Nephropathy.

Fu J, Cui H, Zhu Y, Gao T, Zhang P, Gao C

DOI: 10.3390/bioengineering13101191
Published: 2026 Oct 13
Container: Bioengineering (Basel, Switzerland)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/bioengineering13101191,
  title = {DU-KAN: A Dual-Domain Enhanced Deep-Learning Framework for Digital Pathology-Based Oxford MEST-C Assessment in Pediatric IgA Nephropathy.},
  author = {Fu J and Cui H and Zhu Y and Gao T and Zhang P and Gao C},
  year = {2026},
  journal = {Bioengineering (Basel, Switzerland)},
  doi = {10.3390/bioengineering13101191},
  url = {https://doi.org/10.3390/bioengineering13101191}
}

RIS

TY  - JOUR
TI  - DU-KAN: A Dual-Domain Enhanced Deep-Learning Framework for Digital Pathology-Based Oxford MEST-C Assessment in Pediatric IgA Nephropathy.
AU  - Fu J
AU  - Cui H
AU  - Zhu Y
AU  - Gao T
AU  - Zhang P
AU  - Gao C
PY  - 2026
JO  - Bioengineering (Basel, Switzerland)
DO  - 10.3390/bioengineering13101191
UR  - https://doi.org/10.3390/bioengineering13101191
ER  -

APA

J, F., H, C., Y, Z., T, G., P, Z., & C, G. (2026). DU-KAN: A Dual-Domain Enhanced Deep-Learning Framework for Digital Pathology-Based Oxford MEST-C Assessment in Pediatric IgA Nephropathy.. Bioengineering (Basel, Switzerland). https://doi.org/10.3390/bioengineering13101191

Source records

pubmed · retrieved 2026-11-10T05:42:49.645Z