Comparing Conventional and Deep Feature Models for Classifying Fundus Photography of Hemorrhages

Tamoor Aziz, Chalie Charoenlarpnopparut, Srijidtra Mahapakulchai

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DOI: 10.1155/2022/7387174
Published: 2022-11-19
Container: Journal of Healthcare Engineering
Publisher: Wiley
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1155/2022/7387174,
  title = {Comparing Conventional and Deep Feature Models for Classifying Fundus Photography of Hemorrhages},
  author = {Tamoor Aziz and Chalie Charoenlarpnopparut and Srijidtra Mahapakulchai},
  year = {2022},
  journal = {Journal of Healthcare Engineering},
  doi = {10.1155/2022/7387174},
  url = {https://doi.org/10.1155/2022/7387174}
}

RIS

TY  - JOUR
TI  - Comparing Conventional and Deep Feature Models for Classifying Fundus Photography of Hemorrhages
AU  - Tamoor Aziz
AU  - Chalie Charoenlarpnopparut
AU  - Srijidtra Mahapakulchai
PY  - 2022
JO  - Journal of Healthcare Engineering
DO  - 10.1155/2022/7387174
UR  - https://doi.org/10.1155/2022/7387174
ER  -

APA

Aziz, T., Charoenlarpnopparut, C., & Mahapakulchai, S. (2022). Comparing Conventional and Deep Feature Models for Classifying Fundus Photography of Hemorrhages. Journal of Healthcare Engineering. https://doi.org/10.1155/2022/7387174

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crossref · retrieved 2026-11-05T12:16:40.774Z