How AI-based techniques for brain tumour diagnosis can address data variability.

Lecca P, Lecca M

DOI: 10.3389/fbinf.2026.1916468
Published: 2026
Container: Frontiers in bioinformatics
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/fbinf.2026.1916468,
  title = {How AI-based techniques for brain tumour diagnosis can address data variability.},
  author = {Lecca P and Lecca M},
  year = {2026},
  journal = {Frontiers in bioinformatics},
  doi = {10.3389/fbinf.2026.1916468},
  url = {https://doi.org/10.3389/fbinf.2026.1916468}
}

RIS

TY  - JOUR
TI  - How AI-based techniques for brain tumour diagnosis can address data variability.
AU  - Lecca P
AU  - Lecca M
PY  - 2026
JO  - Frontiers in bioinformatics
DO  - 10.3389/fbinf.2026.1916468
UR  - https://doi.org/10.3389/fbinf.2026.1916468
ER  -

APA

P, L., & M, L. (2026). How AI-based techniques for brain tumour diagnosis can address data variability.. Frontiers in bioinformatics. https://doi.org/10.3389/fbinf.2026.1916468

Source records

pubmed · retrieved 2026-11-10T08:18:42.670Z