Improved Support Vector Machine based on CNN-SVD for vision-threatening diabetic retinopathy detection and classification
- DOI
- 10.1371/journal.pone.0295951
- Published
- 2024-01-02
- Container
- PLOS ONE
- Publisher
- Public Library of Science (PLoS)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1371/journal.pone.0295951,
title = {Improved Support Vector Machine based on CNN-SVD for vision-threatening diabetic retinopathy detection and classification},
author = {Anas Bilal and Azhar Imran and Talha Imtiaz Baig and Xiaowen Liu and Haixia Long and Abdulkareem Alzahrani and Muhammad Shafiq},
year = {2024},
journal = {PLOS ONE},
doi = {10.1371/journal.pone.0295951},
url = {https://doi.org/10.1371/journal.pone.0295951}
}RIS
TY - JOUR TI - Improved Support Vector Machine based on CNN-SVD for vision-threatening diabetic retinopathy detection and classification AU - Anas Bilal AU - Azhar Imran AU - Talha Imtiaz Baig AU - Xiaowen Liu AU - Haixia Long AU - Abdulkareem Alzahrani AU - Muhammad Shafiq PY - 2024 JO - PLOS ONE DO - 10.1371/journal.pone.0295951 UR - https://doi.org/10.1371/journal.pone.0295951 ER -
APA
Bilal, A., Imran, A., Baig, T. I., Liu, X., Long, H., Alzahrani, A., & Shafiq, M. (2024). Improved Support Vector Machine based on CNN-SVD for vision-threatening diabetic retinopathy detection and classification. PLOS ONE. https://doi.org/10.1371/journal.pone.0295951
Source records
- crossref · retrieved 2026-09-25T20:09:39.619Z