When uncertainty guides learning: a highly effective approach to kidney disease classification in CT imaging.

Akter M, Farid FA, Ahmad MY, Hossain Raju MA, Rahman S, Uddin J, Abdul Karim HB

DOI: 10.3389/fdata.2026.1825213
Published: 2026
Container: Frontiers in big data
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/fdata.2026.1825213,
  title = {When uncertainty guides learning: a highly effective approach to kidney disease classification in CT imaging.},
  author = {Akter M and Farid FA and Ahmad MY and Hossain Raju MA and Rahman S and Uddin J and Abdul Karim HB},
  year = {2026},
  journal = {Frontiers in big data},
  doi = {10.3389/fdata.2026.1825213},
  url = {https://doi.org/10.3389/fdata.2026.1825213}
}

RIS

TY  - JOUR
TI  - When uncertainty guides learning: a highly effective approach to kidney disease classification in CT imaging.
AU  - Akter M
AU  - Farid FA
AU  - Ahmad MY
AU  - Hossain Raju MA
AU  - Rahman S
AU  - Uddin J
AU  - Abdul Karim HB
PY  - 2026
JO  - Frontiers in big data
DO  - 10.3389/fdata.2026.1825213
UR  - https://doi.org/10.3389/fdata.2026.1825213
ER  -

APA

M, A., FA, F., MY, A., MA, H. R., S, R., J, U., & HB, A. K. (2026). When uncertainty guides learning: a highly effective approach to kidney disease classification in CT imaging.. Frontiers in big data. https://doi.org/10.3389/fdata.2026.1825213

Source records

pubmed · retrieved 2026-09-25T16:22:11.128Z