{"title":"[肺病理定量图像分析-人支气管上皮癌前病变的数字化]。","authors":"T Steinbach, K M Müller, H Kämper","doi":"","DOIUrl":null,"url":null,"abstract":"<p><p>The report concerns the first phase of a quantitative study of normal and abnormal bronchial epithelium with the objective of establishing the digitalization of histologic patterns. Preparative methods, data collecting and handling, and further mathematical analysis are described. In cluster and discriminatory analysis the digitalized histologic features can be used to separate and classify the individual cases into the respective diagnostic groups.</p>","PeriodicalId":76159,"journal":{"name":"Microscopica acta. Supplement","volume":" 3","pages":"171-8"},"PeriodicalIF":0.0000,"publicationDate":"1979-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"[Quantitative image analysis in pulmonary pathology - digitalization of preneoplastic lesions in human bronchial epithelium (author's transl)].\",\"authors\":\"T Steinbach, K M Müller, H Kämper\",\"doi\":\"\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>The report concerns the first phase of a quantitative study of normal and abnormal bronchial epithelium with the objective of establishing the digitalization of histologic patterns. Preparative methods, data collecting and handling, and further mathematical analysis are described. In cluster and discriminatory analysis the digitalized histologic features can be used to separate and classify the individual cases into the respective diagnostic groups.</p>\",\"PeriodicalId\":76159,\"journal\":{\"name\":\"Microscopica acta. Supplement\",\"volume\":\" 3\",\"pages\":\"171-8\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1979-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Microscopica acta. Supplement\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Microscopica acta. Supplement","FirstCategoryId":"1085","ListUrlMain":"","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
[Quantitative image analysis in pulmonary pathology - digitalization of preneoplastic lesions in human bronchial epithelium (author's transl)].
The report concerns the first phase of a quantitative study of normal and abnormal bronchial epithelium with the objective of establishing the digitalization of histologic patterns. Preparative methods, data collecting and handling, and further mathematical analysis are described. In cluster and discriminatory analysis the digitalized histologic features can be used to separate and classify the individual cases into the respective diagnostic groups.