Automated diabetic retinopathy grading and lesion detection based on the modified R‐FCN object‐detection algorithm

Jialiang Wang, Jianxu Luo, Bin Liu, Rui Feng, Lina Lu, Haidong Zou

Open source

DOI: 10.1049/iet-cvi.2018.5508
Published: 2020-01-16
Container: IET Computer Vision
Publisher: Institution of Engineering and Technology (IET)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1049/iet-cvi.2018.5508,
  title = {Automated diabetic retinopathy grading and lesion detection based on the modified R‐FCN object‐detection algorithm},
  author = {Jialiang Wang and Jianxu Luo and Bin Liu and Rui Feng and Lina Lu and Haidong Zou},
  year = {2020},
  journal = {IET Computer Vision},
  doi = {10.1049/iet-cvi.2018.5508},
  url = {https://doi.org/10.1049/iet-cvi.2018.5508}
}

RIS

TY  - JOUR
TI  - Automated diabetic retinopathy grading and lesion detection based on the modified R‐FCN object‐detection algorithm
AU  - Jialiang Wang
AU  - Jianxu Luo
AU  - Bin Liu
AU  - Rui Feng
AU  - Lina Lu
AU  - Haidong Zou
PY  - 2020
JO  - IET Computer Vision
DO  - 10.1049/iet-cvi.2018.5508
UR  - https://doi.org/10.1049/iet-cvi.2018.5508
ER  -

APA

Wang, J., Luo, J., Liu, B., Feng, R., Lu, L., & Zou, H. (2020). Automated diabetic retinopathy grading and lesion detection based on the modified R‐FCN object‐detection algorithm. IET Computer Vision. https://doi.org/10.1049/iet-cvi.2018.5508

Source records

crossref · retrieved 2026-09-25T05:52:36.674Z