Xiangyun Ye

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Global gray-level thresholding techniques such as Otsu's method, and local gray-level thresholding techniques such as edge-based segmentation or the adaptive thresholding method are powerful in extracting character objects from simple or slowly varying backgrounds. However, they are found to be insufficient when the backgrounds include sharply varying(More)
The automation of business form processing is attracting intensive research interests due to its wide application and its reduction of the heavy work-load due to manual processing. Preparing clean and clear images for the recognition engines is often taken for granted as a trivial task that requires little attention. In reality, handwritten data usually(More)
In this paper, we contribute a new paradigm of combining string recognizers and propose generic frameworks for hierarchical and parallel combination of multiple string recognizers. The frameworks are open to any new achievement in either recognizers or combination algorithms, and can be applied to both machine-printed and handwritten string recognition(More)
This paper presents a technique for extracting the user-entered information from bankcheck images based on a layout-driven item extraction method. The baselines of checks are detected and eliminated by using gray-level mathematical morphology. A priori information about the positions of data is integrated into a combination of top-down and bottom-up(More)
OBJECTIVE Functional single nucleotide polymorphisms (SNPs) of microRNA (miRNA) sequences or binding sites (miRNA-SNPs) are associated with lung cancer risk and survival. The objective of this study was to systematically review genetic association studies about miRNA-SNPs in lung cancer. METHODS Eligible genetic association studies were retrieved from(More)
In spite of the fact that the great progress has been made in the treatment of non-small cell lung cancer (NSCLC), the prognosis of NSCLC remains comparatively dismal. Therefore, it is of great value to identify novel effective diagnostic biomarkers and therapeutic targets of NSCLC. Emerging evidence has demonstrated the vital roles of long noncoding RNAs(More)
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