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OPTICAL TEXTURE ANALYSIS FOR AUTOMATIC CYTOLOGY AND HISTOLOGY:A MARKOVIAN APPROACH

机译：自动细胞学和组织学的光学纹理分析：马尔可夫方法

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Markovian analysis is a method to measure optical texture based on gray-level transition probabilities in digitized images. The experiments described in this dissertation investigate the classification performance of parameters generated by this method. Three types of data sets are used:images of (1) human blood leukocytes (nuclei of monocots, neutrophils, and lymphocytes;Wright stain;(0.125 um) / picture point), (2) cervical exfoliative cells (nuclei of normal intermediate squalors cells and dysplastic and carcinoma in situ cells;azure-A/Toughen stain;(0.125 um) /picture point), and (3) lymph-node tissue sections (6-ym thick sections from normal, acute lymphadenitis, and Hodgkin lymph nodes;hematoxylin and eosin stain;(0.625 um)2 / picture point.

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Norman Jules Pressman;
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年度 1976
页码 1-274
总页数 274
原文格式 PDF
正文语种 eng
中图分类工业技术;
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8. On the Significance of Certain Markovian Features of Granite Textures. [R] . Whitten, E. H. T., Dacey, M. F. 1974

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OPTICAL TEXTURE ANALYSIS FOR AUTOMATIC CYTOLOGY AND HISTOLOGY:A MARKOVIAN APPROACH

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