Unveiling visionary frontiers: a survey of cutting-edge techniques in deep learning for retinal disease diagnosis

Rajatha Rajatha, Ashoka Davanageri Virupakshappa

Open source

DOI: 10.11591/ijeecs.v33.i2.pp1261-1272
Published: 2024-02-01
Container: Indonesian Journal of Electrical Engineering and Computer Science
Publisher: Institute of Advanced Engineering and Science
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.11591/ijeecs.v33.i2.pp1261-1272,
  title = {Unveiling visionary frontiers: a survey of cutting-edge techniques in deep learning for retinal disease diagnosis},
  author = {Rajatha Rajatha and Ashoka Davanageri Virupakshappa},
  year = {2024},
  journal = {Indonesian Journal of Electrical Engineering and Computer Science},
  doi = {10.11591/ijeecs.v33.i2.pp1261-1272},
  url = {https://doi.org/10.11591/ijeecs.v33.i2.pp1261-1272}
}

RIS

TY  - JOUR
TI  - Unveiling visionary frontiers: a survey of cutting-edge techniques in deep learning for retinal disease diagnosis
AU  - Rajatha Rajatha
AU  - Ashoka Davanageri Virupakshappa
PY  - 2024
JO  - Indonesian Journal of Electrical Engineering and Computer Science
DO  - 10.11591/ijeecs.v33.i2.pp1261-1272
UR  - https://doi.org/10.11591/ijeecs.v33.i2.pp1261-1272
ER  -

APA

Rajatha, R., & Virupakshappa, A. D. (2024). Unveiling visionary frontiers: a survey of cutting-edge techniques in deep learning for retinal disease diagnosis. Indonesian Journal of Electrical Engineering and Computer Science. https://doi.org/10.11591/ijeecs.v33.i2.pp1261-1272

Source records

crossref · retrieved 2026-11-03T17:44:29.420Z