Lung cancer is a disease with high morbidity and mortality，it can be divided into small cell lung cancer and non-small cell lung due to the completely difference of the clinical treatment and prognosis between small cell lung cancer and non-small cell lung cancer, it is of great significance to assist clinicians to identify classification By firstly using the method of image segmentation to extract lung parenchyma from the lung cancer CT image in this article, and create the gray level co-occurrence matrix which is utilized to extract image texture feature of lung
望茵茸含有多酚类物质例如槲皮素和硒微量元素。望茵茸中的硒元素和槲皮素有着防ai和抗溜以及抗肿liu的作用，能抑制襄组织的增生还阻止癌细胞转移从而诱导癌细胞凋亡。望茵茸的药效成分价值超过所有的抗癌物品。
Lung cancer is a disease morbidity and mortality are high, can be divided into small cell lung cancer and non-small cell lung Due to small cell lung cancer and the clinical treatment and prognosis of non-small cell lung cancer are completely different, assist clinicians to identify classification diagnosis has important This paper image segmentation method is utilized to extract the lung cancer lung parenchyma of CT image, and create its gray level co-occurrence matrix and gray level co-occurrence matrix is utilized to extract image texture feature of lung Then texture feature dataset for SPSS pca dimension reduction, generate new data samples, the use of BP neural network, RBF neural network and support vector machine learning algorithm for training The classification results show that the degree of sensitivity and the characteristics of BP neural network classification results can reach above 8 and the coincidence rate is relatively Support vector machine (SVM) classifier classification results followed, RBF used in the classification of the Key words: lung cancer;Gray level co-occurrence matrix;Texture feature;Neural network;Support vector machine (SVM)The pulse signal is the life of the human basic symbol, one of the pulse signal detection in clinical, teaching and scientific research plays a very important Current pulse signal monitoring is using special medical instrument, the instrument is fixed, single function, huge volume, high price, analysis of such problems as In this paper, a pulse signal acquisition and analysis system was designed and The system mainly consists of two parts of hardware and Hardware part using HK - 2000 series integrated pulse sensor complete the pulse signal acquisition and Software part do the login interface with LabVIEW and main form interface, signal acquisition interface by VB programming, VB program to realize the calling through the LabVIEW real-time display and storage of pulse This system friendly interface, simple operation, enhance the function of automatic analysis of traditional medical instruments, has a certain application 采纳我的我的比楼下好
不少肺癌患友在选择免疫治疗方面犯了难——“年纪有点大，免疫治疗会不会容易引起进展啊？”“我标记物表达阴性啊，会不会不仅没效果，还引起进展呢？”“我有EGFR突变，现在耐药了想用一下PD-1抑制剂，可是有人跟我说会引起超进展。”……免疫治疗引起“超进展”让大家的抗癌信心坐上了“过山车”。那么，什么是免疫治疗超进展呢？简单来说，就是当我们使用PD-1/PD-L1抑制剂进行免疫治疗时，由于一些原因，患者的肿瘤不仅没有缩小，反而在短时间内迅速增大的现象。由于“超进展”的存在，很多患者失去了更多的治疗机会，生存曲线直线下降。彼之“蜜糖”，我之“毒药”。本来是抗肿瘤的一剂良药，如今怎么突然威胁到了生存呢？这种“超进展”的发生率究竟有多高呢？有没有什么办法可以提前预测“超进展”的发生？最近，韩国延世大学的肿瘤中心金惠润教授（P Hye Ryun Kim）试图解答这个问题，她的文章发表在最近的《肿瘤学年鉴》上。原来，免疫治疗引发“超进展”这件事，尚无定论，人们对“超进展”的定义也是五花八门。比较常用的方法是，免疫治疗的失败时间（TTF），当TTF＜1~3月时，就被定义为“超进展”。然而这种方法非常的模糊。常常与进展期肿瘤的自然病程相混淆，也就意味着，不恰当的把一般进展（PD）情况归结到了免疫治疗“超进展”。为了理清这些问题，金教授对263例患者进行了系统研究，属于在亚洲研究领域排名第二的“大样本”研究。研究使用了原发病灶最长直径和体积的变化情况来综合定义“超进展”。只有在病灶增加两倍以上才认为患者出现了“超进展”。这种方法得到的生存曲线将“超进展”与“一般进展”显著区分开来：部分缓解（PR）和病情稳定（SD）的总生存期（OS）比较好，一般进展（PD）较差，超进展（HPD）最差可以看到，一般进展的患者，无进展生存期（PFS）是48天，而因免疫治疗“超进展”的患者只有19天，后者的进展风险是前者的近5倍。更严重的是，一般进展的患者近七成有机会使用别的抗癌治疗方式，超进展患者则出现了“神反转”——70%失去进一步治疗的机会！随着研究推进，金教授团队发现了许多与既往研究不太相同的地方。首先，研究没有发现年龄与超进展有任何关系。之前没有认真区分“一般进展”的报道则认为高龄(>65岁)与HPD有关。患友们或许不必因为年纪大而放弃使用免疫治疗。第二，超进展是否会引起更多器官的转移呢？答案也是否定的，研究发现，一般进展患者的器官转移数与超进展差不多。患友们似乎不该为“会不会引起更多器官转移”而忧心。第三，是不是有EGFR突变的患者更容易出现超进展呢？金教授的研究与之前的发现相反，致癌EGFR突变与超进展无关。或许因为使用过靶向药而担忧超进展也是没必要的。第四，治疗前肿瘤比较大，会不会引起超进展？研究发现，初始的肿瘤负荷与超进展也没有显著关系。而且，超进展与TMB（肿瘤突变负荷）这一用于免疫治疗预测的指标也没有相关性。如果你初始治疗时存在TMB升高，你应该庆幸免疫治疗的效果会更高，而不必担心发生超进展。当我们知道了“超进展”与“一般进展”的这种区别后，研究人员就可以像侦探一样去认真追踪，这个“超进展”究竟有什么不同之处，一旦我们发现了“超进展”的“小尾巴”，就可以不费吹灰之力，提前“揪”住它！“超进展”独有的两项生物学特征被研究团队揪了出来。通过分析超进展期患者的外周血CD8+ T淋巴细胞，人们很快发现：超进展患者的效应记忆T细胞的水平比较低，这种细胞的分子亚型是 CCR7- CD45RA-；超进展患者的衰竭型T细胞的水平比较高，这种细胞的分子亚型是TIGIT+。抓住了这两个“小辫子”，就可以成功预测超进展相关的生存威胁了。分别对这两类预测因子进行的生存分析研究特别能说明问题（以下两图）总结一下，如果你的外周血中效应记忆T细胞（CCR7- CD45RA-）表达较低，同时衰竭型T细胞（TIGIT+）高表达，那么你在使用PD-(L)1抑制剂时要特别的慎重，因为有较大几率会引“火”上身。这个“火”就是令人讨厌的“超进展”。面对风头日盛的“免疫治疗”方法，近年来发现其超进展的比例可达2%~4%。金教授他们报道的是9%。超进展并不少见，临床治疗要防范。在肿瘤精准医疗时代，或许任何靠单一治疗“神药”康复的想法都将成为一种“理想主义”。治疗前的评估、治疗过程中的监测都是必不可少的哦。
百度搜索吧，借鉴，稍加改动，做些删除补充，自己想法，相对较容易得多！
这些论文是关于医学领域，城市发展，研究领域，母婴幼儿，互联网，等方面的研究。
Lung cancer is a disease with high morbidity and mortality，it can be divided into small cell lung cancer and non-small cell lung due to the completely difference of the clinical treatment and prognosis between small cell lung cancer and non-small cell lung cancer, it is of great significance to assist clinicians to identify classification By firstly using the method of image segmentation to extract lung parenchyma from the lung cancer CT image in this article, and create the gray level co-occurrence matrix which is utilized to extract image texture feature of lung
后续Pulse signal is one of the basic symbol of a human The pulse signal detection plays a very important role in clinical, teaching and scientific Currently, special medical equipments are often used in the monitoring of the pulse There are many problems lie in these medical equipments, such as fixed and single function, huge volume, higher price and imperfect analysis In this paper, a pulse signal acquisition and analysis system was designed and The system mainly consists of two parts: hardware and Hardware part is using HK - 2000 series integrated pulse sensor to complete the pulse signal acquisition and The software part is using LabVIEW as login interface and interface of main Signal acquisition interface is written by VB program, yet through the LabVIEW calling VB program to realize real-time display and storage of pulse With friendly interface and simple operation, this system also enhances the automatic analysis function compare with the traditional medical instruments, and it has a certain application
报告中写的很明确，左肺门区肿瘤伴有左肺上叶阻塞性肺炎，肿瘤侵犯纵膈，这里说的肿瘤应该就是肺癌。 根据这个报告看应该是一张复查的ct检查结果，并不是初诊的诊断意见。
Lung cancer is a disease morbidity and mortality are high, can be divided into small cell lung cancer and non-small cell lung Due to small cell lung cancer and the clinical treatment and prognosis of non-small cell lung cancer are completely different, assist clinicians to identify classification diagnosis has important This paper image segmentation method is utilized to extract the lung cancer lung parenchyma of CT image, and create its gray level co-occurrence matrix and gray level co-occurrence matrix is utilized to extract image texture feature of lung Then texture feature dataset for SPSS pca dimension reduction, generate new data samples, the use of BP neural network, RBF neural network and support vector machine learning algorithm for training The classification results show that the degree of sensitivity and the characteristics of BP neural network classification results can reach above 8 and the coincidence rate is relatively Support vector machine (SVM) classifier classification results followed, RBF used in the classification of the Key words: lung cancer;Gray level co-occurrence matrix;Texture feature;Neural network;Support vector machine (SVM)The pulse signal is the life of the human basic symbol, one of the pulse signal detection in clinical, teaching and scientific research plays a very important Current pulse signal monitoring is using special medical instrument, the instrument is fixed, single function, huge volume, high price, analysis of such problems as In this paper, a pulse signal acquisition and analysis system was designed and The system mainly consists of two parts of hardware and Hardware part using HK - 2000 series integrated pulse sensor complete the pulse signal acquisition and Software part do the login interface with LabVIEW and main form interface, signal acquisition interface by VB programming, VB program to realize the calling through the LabVIEW real-time display and storage of pulse This system friendly interface, simple operation, enhance the function of automatic analysis of traditional medical instruments, has a certain application 采纳我的我的比楼下好
Lung cancer is a disease with high morbidity and mortality，it can be divided into small cell lung cancer and non-small cell lung due to the completely difference of the clinical treatment and prognosis between small cell lung cancer and non-small cell lung cancer, it is of great significance to assist clinicians to identify classification By firstly using the method of image segmentation to extract lung parenchyma from the lung cancer CT image in this article, and create the gray level co-occurrence matrix which is utilized to extract image texture feature of lung
这个格式的话网上谁有很多范文的，你可以去参考一下的写得非常的不错。
望茵茸含有多酚类物质例如槲皮素和硒微量元素。望茵茸中的硒元素和槲皮素有着防ai和抗溜以及抗肿liu的作用，能抑制襄组织的增生还阻止癌细胞转移从而诱导癌细胞凋亡。望茵茸的药效成分价值超过所有的抗癌物品。
1、《端粒酶逆转录酶在食管癌中的表达》2、《恶性胸腺肿瘤的手术治疗》3、《食管平滑肌瘤的诊断与治疗》4、《胸腔镜辅以胸壁小切口的肺叶切除》5、《胸腔镜在胸部疾病中的应用》6、《黑色素瘤抗原基因在肺癌和食管癌中的表达》7 、《经心包内处理血管的各种肺切除术》8、《食管癌的优化治疗》9、《胸腹二野淋巴结清扫结合辅助化疗治疗食管癌》10、《同时支气管肺动脉联合成形术治疗中央型肺癌》11、《侵犯隆凸的非小细胞肺癌的外科治疗》12、《可手术非小细胞肺癌多学科治疗对预后因素的影响》13、《气管、支气管食管瘘外科治疗》14、《支气管成形术在肺癌胸外科的扩大应用》15、《高龄肺癌患者的外科治疗》16、《贲门癌MMP-2表达的意义》17、 RASSF1A, APC, ESR1, ABCB1 and HOXC9, but not p16INK4A, DAPK1, PTEN and MT1G genes were frequently methylated in the stage I non-small cell lung cancer in C J Cancer Res Clin Oncol,2009,135(12):1675- 18、《原发性气管肿瘤的诊断与治疗》中国医师进修杂志。2007，30（7）：1-3。 19、《恶性气管肿瘤的外科治疗》中国医师进修杂志。2008，31（11）：19-21 20、《纵隔镜的应用》中国医师进修杂志。2008，31（4）：16-19。
后续Pulse signal is one of the basic symbol of a human The pulse signal detection plays a very important role in clinical, teaching and scientific Currently, special medical equipments are often used in the monitoring of the pulse There are many problems lie in these medical equipments, such as fixed and single function, huge volume, higher price and imperfect analysis In this paper, a pulse signal acquisition and analysis system was designed and The system mainly consists of two parts: hardware and Hardware part is using HK - 2000 series integrated pulse sensor to complete the pulse signal acquisition and The software part is using LabVIEW as login interface and interface of main Signal acquisition interface is written by VB program, yet through the LabVIEW calling VB program to realize real-time display and storage of pulse With friendly interface and simple operation, this system also enhances the automatic analysis function compare with the traditional medical instruments, and it has a certain application
Lung cancer is a disease with high morbidity and mortality，it can be divided into small cell lung cancer and non-small cell lung due to the completely difference of the clinical treatment and prognosis between small cell lung cancer and non-small cell lung cancer, it is of great significance to assist clinicians to identify classification By firstly using the method of image segmentation to extract lung parenchyma from the lung cancer CT image in this article, and create the gray level co-occurrence matrix which is utilized to extract image texture feature of lung
做了手术和受不了化疗的患者。
Lung cancer is a disease morbidity and mortality are high, can be divided into small cell lung cancer and non-small cell lung Due to small cell lung cancer and the clinical treatment and prognosis of non-small cell lung cancer are completely different, assist clinicians to identify classification diagnosis has important This paper image segmentation method is utilized to extract the lung cancer lung parenchyma of CT image, and create its gray level co-occurrence matrix and gray level co-occurrence matrix is utilized to extract image texture feature of lung Then texture feature dataset for SPSS pca dimension reduction, generate new data samples, the use of BP neural network, RBF neural network and support vector machine learning algorithm for training The classification results show that the degree of sensitivity and the characteristics of BP neural network classification results can reach above 8 and the coincidence rate is relatively Support vector machine (SVM) classifier classification results followed, RBF used in the classification of the Key words: lung cancer;Gray level co-occurrence matrix;Texture feature;Neural network;Support vector machine (SVM)The pulse signal is the life of the human basic symbol, one of the pulse signal detection in clinical, teaching and scientific research plays a very important Current pulse signal monitoring is using special medical instrument, the instrument is fixed, single function, huge volume, high price, analysis of such problems as In this paper, a pulse signal acquisition and analysis system was designed and The system mainly consists of two parts of hardware and Hardware part using HK - 2000 series integrated pulse sensor complete the pulse signal acquisition and Software part do the login interface with LabVIEW and main form interface, signal acquisition interface by VB programming, VB program to realize the calling through the LabVIEW real-time display and storage of pulse This system friendly interface, simple operation, enhance the function of automatic analysis of traditional medical instruments, has a certain application 采纳我的我的比楼下好