ResNet Based Deep Features and Random Forest Classifier for Diabetic Retinopathy Detection.

Yaqoob MK, Ali SF, Bilal M, Hanif MS, Al-Saggaf UM

DOI: 10.3390/s21113883
Published: 2021 Jun 4
Container: Sensors (Basel, Switzerland)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/s21113883,
  title = {ResNet Based Deep Features and Random Forest Classifier for Diabetic Retinopathy Detection.},
  author = {Yaqoob MK and Ali SF and Bilal M and Hanif MS and Al-Saggaf UM},
  year = {2021},
  journal = {Sensors (Basel, Switzerland)},
  doi = {10.3390/s21113883},
  url = {https://doi.org/10.3390/s21113883}
}

RIS

TY  - JOUR
TI  - ResNet Based Deep Features and Random Forest Classifier for Diabetic Retinopathy Detection.
AU  - Yaqoob MK
AU  - Ali SF
AU  - Bilal M
AU  - Hanif MS
AU  - Al-Saggaf UM
PY  - 2021
JO  - Sensors (Basel, Switzerland)
DO  - 10.3390/s21113883
UR  - https://doi.org/10.3390/s21113883
ER  -

APA

MK, Y., SF, A., M, B., MS, H., & UM, A. (2021). ResNet Based Deep Features and Random Forest Classifier for Diabetic Retinopathy Detection.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s21113883

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pubmed · retrieved 2026-09-25T01:16:11.205Z