To assess the effect of the NFKB1 -94ins/del polymorphism on cancer, we conducted a meta-analysis based on 25 studies including 8,750 cases and 9,170 controls. Overall, the -94ins/del polymorphism was associated with cancer risk in the pooled analysis and in Asian population, whereas no association was observed in Caucasian population. Stratified analysis by subtypes of cancer showed that the -94ins/del polymorphism was associated with oral squamous cell carcinoma and ovarian cancer risk, but had no association with colorectal cancer, bladder cancer, and renal cell cancer. Our meta-analysis suggests the NFKB1 -94ins/del polymorphism affects cancer susceptibility, and the association is ethnic-specific.
The current global enhancement algorithm for medical X-ray image has problems of poor de-noising and enhancement effect and low reduction of the enhanced medical X-ray image. To address the problems, a global enhancement algorithm for X-ray image in medical image classification is proposed in this paper. The medical X-ray image is gray scaled, which provides the basis for the further processing of the image. The noise in medical X-ray image is removed by using multi-wavelet transform to improve the enhancement effect of the method. With the curve-let domain the medical X-ray image is enhanced, the reduction degree of medical X-ray image is improved and the global enhancement of the medical X-ray image is completed. Experimental results show that the de-noising effect of the proposed method is effective, the enhanced medical X ray image is better, and the reduction degree of medical X-ray image is high.
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