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基于血清红外光谱结合SVM算法实现肺癌和肝癌的诊断研究
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作者 欧全宏 施丽菲 +3 位作者 程飞燕 江丽琴 杨伟业 刘刚 《光谱学与光谱分析》 SCIE EI CAS CSCD 北大核心 2023年第S01期57-58,共2页
肝癌和肺癌是人类健康的两大杀手,在所有癌症中死亡人数排在前两名,早期诊断对肝癌和肺癌患者治疗具有重要意义,因此,亟需一种样本诊断方法来实现肝癌和肺癌的早期精准诊断。基于傅里叶变换红外光谱,分别使用支持向量机(SVM)和人工智能... 肝癌和肺癌是人类健康的两大杀手,在所有癌症中死亡人数排在前两名,早期诊断对肝癌和肺癌患者治疗具有重要意义,因此,亟需一种样本诊断方法来实现肝癌和肺癌的早期精准诊断。基于傅里叶变换红外光谱,分别使用支持向量机(SVM)和人工智能蜂群(ABC)优化SVM两种方法,对获得的正常人、肝癌患者和肺癌患者血清的红外光谱数据进行分析。使用SVM对获得的三类血清光谱数据进行分类预测,能够较好的进行分类,但预测准确率不是很理想;运用ABC-SVM预测分类后准确率大大提高,可达95.8%,优于直接用特征参数作为模型输入的识别正确率,且算法具有良好的实时性。该结果可为红外光谱在肝癌和肺癌的早期诊断应用提供参考。 展开更多
关键词 红外光谱 SVM ABC-SVM 癌症 预测
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基于Au纳米岛修饰的CdSSe纳米带光电探测器
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作者 赵吉玉 谭秋红 +3 位作者 刘磊 杨伟业 王前进 刘应开 《物理学报》 SCIE EI CAS CSCD 北大核心 2023年第9期328-338,共11页
三元合金CdS_(x)Se_(1-x)兼具CdS和CdSe的物理性质,其带隙可以通过改变元素的组分来调节.该合金具有优异的光电性能,在光电器件方面具有潜在的应用价值.本文首先通过热蒸发法制备了单晶CdS_(0.42)Se_(0.58)纳米带器件,在550 nm光照及1 ... 三元合金CdS_(x)Se_(1-x)兼具CdS和CdSe的物理性质,其带隙可以通过改变元素的组分来调节.该合金具有优异的光电性能,在光电器件方面具有潜在的应用价值.本文首先通过热蒸发法制备了单晶CdS_(0.42)Se_(0.58)纳米带器件,在550 nm光照及1 V偏压下,器件的光电流与暗电流之比为1.24×10^(3),光响应度达60.1 A/W,外量子效率达1.36×10^(4)%,探测率达2.16×10^(11)Jones,其上升/下降时间约为41.1/41.5 ms.其次,通过Au纳米岛修饰该CdS_(0.42)Se_(0.58)纳米带后,器件的光电性能显著提升,在550 nm光照及1 V偏压下,器件的光开关比、响应度、外量子效率及探测率分别提高了5.4倍、11.8倍、11.8倍和10.6倍,并且上升/下降时间均缩短了近一半.最后基于Au纳米岛的局域表面等离子共振解释了器件光电性能增强的微观物理机制,为在不增大器件面积的前提下,制备高性能光电探测器提供了一种有效策略. 展开更多
关键词 CdSSe纳米带 Au纳米岛 局域表面等离子体共振 光电探测器
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Influenza A (H1N1) pneumonia: an analysis of 63 cases by chest CT 被引量:3
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作者 LI Min ZHU Jian-bing +3 位作者 CHEN Guang-qiang yang wei-ye TAO Cheng WANG Xiao-hui 《Chinese Medical Journal》 SCIE CAS CSCD 2011年第17期2669-2673,共5页
Background In early April 2009, cases of human infection with 2009 pandemic influenza A (H1N1) virus were identified in Mexico. The virus then spread rapidly to other regions of the world. From October 2009, sporadi... Background In early April 2009, cases of human infection with 2009 pandemic influenza A (H1N1) virus were identified in Mexico. The virus then spread rapidly to other regions of the world. From October 2009, sporadic imported cases of novel influenza A (HIN1) were continuously confirmed in Suzhou. The aim of the study was to review the chest CT findings in 63 patients with laboratory-confirmed novel swine-origin influenza A (H1N1) virus (S-OIV) infection. Methods Chest CT examinations were collected from 63 S-OIV infected patients during their hospital stay. Three experienced radiologists inspected images to qualitatively and quantitatively characterize S-OIV induced image changes. CT scores of lesion severity were calculated based on the percentage of affected area to determine severity of infectious lesions. Patients were divided into two groups based on the leukocyte counts. Lesion patterns, local distributions, and quantitative measures were investigated and compared between the two groups. Results Various degrees of bilateral multifocal lesions of ground-glass opacities were found with or without consolidations on the chest CT images. The lesions were both bronchocentric and centrilobular. Patients with elevated leukocyte counts had more extensive lesions, in terms of severity and affected area, than the patients with normal leukocyte counts. The lesion severity scores of patients in the elevated leukocyte group were significantly higher than those of the normal leukocyte group in terms of the entire lung area (P 〈0.01), and upper (P 〈0.05) and lower (P 〈0.01) lobes as well. There were changes in the CT characteristics seen at follow-up as demonstrated by lesions absorption (P 〈0.01), especially in the upper lobe of the lung (P〈0.01), but less so in the middle lobe/lingual and lower lobe of the lung (m〉o.o5). Conclusions The most common CT findings in S-OIV infection patients were bilateral multifocal distributed ground-glass opacities and consolidations. The lesions were located dominantly at bronchocentric and centrilobular areas. Lung lesions were more obviously absorbed in upper lobes between two examinations. The observations and analysis from this study provide information that may be useful in image understanding and patient management for future pandemic influenza. 展开更多
关键词 influenza A virus H1N1 subtype PNEUMONIA TOMOGRAPHY X-ray computed
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