Clustering-based low-rank matrix approximation for multimodal medical image compression

Sisipho Hamlomo, Marcellin Atemkeng

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DOI: 10.1186/s13040-026-00541-5
Published: 2026-03-24
Container: BioData Mining
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1186/s13040-026-00541-5,
  title = {Clustering-based low-rank matrix approximation for multimodal medical image compression},
  author = {Sisipho Hamlomo and Marcellin Atemkeng},
  year = {2026},
  journal = {BioData Mining},
  doi = {10.1186/s13040-026-00541-5},
  url = {https://doi.org/10.1186/s13040-026-00541-5}
}

RIS

TY  - JOUR
TI  - Clustering-based low-rank matrix approximation for multimodal medical image compression
AU  - Sisipho Hamlomo
AU  - Marcellin Atemkeng
PY  - 2026
JO  - BioData Mining
DO  - 10.1186/s13040-026-00541-5
UR  - https://doi.org/10.1186/s13040-026-00541-5
ER  -

APA

Hamlomo, S., & Atemkeng, M. (2026). Clustering-based low-rank matrix approximation for multimodal medical image compression. BioData Mining. https://doi.org/10.1186/s13040-026-00541-5

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crossref · retrieved 2026-11-09T00:10:04.332Z