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Expression and Clinical Significance of CD44vin Hum an Gastric Cancers
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作者 王道荣 陈国玉 《The Journal of Biomedical Research》 CAS 1999年第2期103-107,共5页
Expression of CD44v mRNA in 20 patients with gastric tumor was investigated to identify the correlation of the CD44 gene splice and abnormal expression with the clinicopathological changes. The results showed that CD4... Expression of CD44v mRNA in 20 patients with gastric tumor was investigated to identify the correlation of the CD44 gene splice and abnormal expression with the clinicopathological changes. The results showed that CD44v mRNA was expressed in 16 of 20 gastric cancers. In 5 out of the 10 mucosa tissues adjacent to gastric cancer, However, no expression of CD44v mRNA was found in all 10 normal mucosa specimens; Positive expression was found in 15 of 16 patients with lymph node metastasis, and 1 out of 4 patients without lymph node metastasis, as well as 5 cases with distant metastasis (P<0.05). Positive expression of CD44v was found in 2 out of 5 well differentiated type gastric cancers, and 14 out of 15 poorly differentiated gastric cancers. Differences were found in the expression between the two types of gastric mucosa (P<0.05). All the mucosa samples including normal gastric mucosa, gastric cancer and its adjacent tissues presented the standard CD44v mRNA. The conclusion was that the abnormal expression of CD44v is a universal significance in gastric cancer, which might serve as an early marker of gastric cancer and metastasis. 展开更多
关键词 CD44v gene gastric carcinoma abnormal splice carcinoma metastasis diagnosis
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Detection of automatic abnormity in the winding and splicing of fiber-optic coil
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作者 刘皓挺 王巍 +1 位作者 李新峰 高峰 《Chinese Optics Letters》 SCIE EI CAS CSCD 2013年第10期55-58,共4页
A high-precision automatic state monitoring and abnormity alarm technique is proposed to solve the process improvement issues of fiber-optic coil winding and splicing. Industrial cameras are used to capture optical an... A high-precision automatic state monitoring and abnormity alarm technique is proposed to solve the process improvement issues of fiber-optic coil winding and splicing. Industrial cameras are used to capture optical and hot images during the assembly of optical components of a fiber-optic gyroscope. A line and contour analysis technique is used to detect abnormal winding. By analyzing the intensity distribution of transmitted light, the graph cut model and multivariate Gaussian mixture model are used to detect and segment the splicing defects. The practical applications indicate the correctness and accuracy of our vision-based technique. 展开更多
关键词 Detection of automatic abnormity in the winding and splicing of fiber-optic coil FIGURE mode
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