Automatic microaneurysm detection in fundus image based on local cross-section transformation and multi-feature fusion.
- DOI
- 10.1016/j.cmpb.2020.105687
- Published
- 2020 Nov
- Container
- Computer methods and programs in biomedicine
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.cmpb.2020.105687,
title = {Automatic microaneurysm detection in fundus image based on local cross-section transformation and multi-feature fusion.},
author = {Du J and Zou B and Chen C and Xu Z and Liu Q},
year = {2020},
journal = {Computer methods and programs in biomedicine},
doi = {10.1016/j.cmpb.2020.105687},
url = {https://doi.org/10.1016/j.cmpb.2020.105687}
}RIS
TY - JOUR TI - Automatic microaneurysm detection in fundus image based on local cross-section transformation and multi-feature fusion. AU - Du J AU - Zou B AU - Chen C AU - Xu Z AU - Liu Q PY - 2020 JO - Computer methods and programs in biomedicine DO - 10.1016/j.cmpb.2020.105687 UR - https://doi.org/10.1016/j.cmpb.2020.105687 ER -
APA
J, D., B, Z., C, C., Z, X., & Q, L. (2020). Automatic microaneurysm detection in fundus image based on local cross-section transformation and multi-feature fusion.. Computer methods and programs in biomedicine. https://doi.org/10.1016/j.cmpb.2020.105687
Source records
- pubmed · retrieved 2026-09-25T10:14:59.281Z