TinyScope: lightweight hyperspectral tissue classification using TinyML inference on a single‑board computer

RokunuzJahan Rudro, Ling Ma, Kelden Pruitt, Baowei Fei

Open source

DOI: 10.1117/12.3087765
Published: 2026-04-02
Container: Medical Imaging 2026: Imaging Informatics
Publisher: SPIE
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1117/12.3087765,
  title = {TinyScope: lightweight hyperspectral tissue classification using TinyML inference on a single‑board computer},
  author = {RokunuzJahan Rudro and Ling Ma and Kelden Pruitt and Baowei Fei},
  year = {2026},
  journal = {Medical Imaging 2026: Imaging Informatics},
  doi = {10.1117/12.3087765},
  url = {https://doi.org/10.1117/12.3087765}
}

RIS

TY  - JOUR
TI  - TinyScope: lightweight hyperspectral tissue classification using TinyML inference on a single‑board computer
AU  - RokunuzJahan Rudro
AU  - Ling Ma
AU  - Kelden Pruitt
AU  - Baowei Fei
PY  - 2026
JO  - Medical Imaging 2026: Imaging Informatics
DO  - 10.1117/12.3087765
UR  - https://doi.org/10.1117/12.3087765
ER  -

APA

Rudro, R., Ma, L., Pruitt, K., & Fei, B. (2026). TinyScope: lightweight hyperspectral tissue classification using TinyML inference on a single‑board computer. Medical Imaging 2026: Imaging Informatics. https://doi.org/10.1117/12.3087765

Source records

crossref · retrieved 2026-11-10T07:11:10.709Z