Hybrid facial image feature extraction and recognition for non-invasive chronic fatigue syndrome diagnosis
- DOI
- 10.1016/j.compbiomed.2015.06.005
- Published
- 2015-09
- Container
- Computers in Biology and Medicine
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.compbiomed.2015.06.005,
title = {Hybrid facial image feature extraction and recognition for non-invasive chronic fatigue syndrome diagnosis},
author = {Yunhua Chen and Weijian Liu and Ling Zhang and Mingyu Yan and Yanjun Zeng},
year = {2015},
journal = {Computers in Biology and Medicine},
doi = {10.1016/j.compbiomed.2015.06.005},
url = {https://doi.org/10.1016/j.compbiomed.2015.06.005}
}RIS
TY - JOUR TI - Hybrid facial image feature extraction and recognition for non-invasive chronic fatigue syndrome diagnosis AU - Yunhua Chen AU - Weijian Liu AU - Ling Zhang AU - Mingyu Yan AU - Yanjun Zeng PY - 2015 JO - Computers in Biology and Medicine DO - 10.1016/j.compbiomed.2015.06.005 UR - https://doi.org/10.1016/j.compbiomed.2015.06.005 ER -
APA
Chen, Y., Liu, W., Zhang, L., Yan, M., & Zeng, Y. (2015). Hybrid facial image feature extraction and recognition for non-invasive chronic fatigue syndrome diagnosis. Computers in Biology and Medicine. https://doi.org/10.1016/j.compbiomed.2015.06.005
Source records
- crossref · retrieved 2026-09-27T00:35:23.225Z