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A Tunable Machine Vision-based Strategy for Automated Annotation of Chemical Databases

We present a tunable, machine vision-based strategy for automated annotation of virtual small molecule databases. The proposed strategy is based on the use of a machine vision based tool for extracting structure diagrams in research articles and converting them into connection tables, a virtual “Che...

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Podrobná bibliografie
Hlavní autoři: Park, Jungkap, Rosania, Gus R., Saitou, Kazuhiro
Médium: Artigo
Jazyk:Inglês
Vydáno: 2009
Témata:
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC2907084/
https://ncbi.nlm.nih.gov/pubmed/19621901
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1021/ci900029v
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