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, Wang , C

Published notice on a work cited in the Pith corpus. Exact quotes below. No model judges whether any citation was load-bearing.

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Correction Crossref 1 open · 1 total · 0 disputed
DOI
10.1155/2018/4149103
Notice DOI
10.1155/2018/4967290
Event date
2018-09-12
Machine twin
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01One-hop citing occurrences

Correction Open
Dual-Attention U-Net++ with Class-Specific Ensembles and Bayesian Hyperparameter Optimization for Precise Wound and Scale Marker Segmentation

ref [6] · 2507.05314 · notice #9001 · dispute

Raw extraction · bibliography line

barticle Li , F. , Wang , C. , Liu , X. , Peng , Y. , Jin , S. : A composite model of wound segmentation based on traditional methods and deep neural networks . Computational and Mathematical Methods in Medicine ( 2018 ) 10.1155/2018/4149103 barticle

Parser render (TeX stripped for reading; raw above is the evidence)

barticle Li, F., Wang, C., Liu, X., Peng, Y., Jin, S. : A composite model of wound segmentation based on traditional methods and deep neural networks . Computational and Mathematical Methods in Medicine ( 2018 ) 10.1155/2018/4149103 barticle

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