Automated Detection of Connective Tissue by Tissue Counter Analysis and Classification and Regression Trees
نویسندگان
چکیده
منابع مشابه
Automated Detection of Connective Tissue by Tissue Counter Analysis and Classification and Regression Trees
OBJECTIVE To evaluate the feasibility of the CART (Classification and Regression Tree) procedure for the recognition of microscopic structures in tissue counter analysis. METHODS Digital microscopic images of H & E; stained slides of normal human skin and of primary malignant melanoma were overlayed with regularly distributed square measuring masks (elements) and grey value, texture and colou...
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چکیده ندارد.
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A procedure for detecting outliers in regression problems is proposed. It is based on information provided by boosting regression trees. The key idea is to select the most frequently resampled observation along the boosting iterations and reiterate after removing it. The selection criterion is based on Tchebychev’s inequality applied to the maximum over the boosting iterations of ...
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Background: Due to the importance of medical studies, researchers of this field should be familiar with various types of statistical analyses to select the most appropriate method based on the characteristics of their data sets. Classification and regression trees (CARTs) can be as complementary to regression models. We compared the performance of a logistic regression model and a CART in predi...
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background: localized alveolar ridge defect may create physiological and pathological problems. developments in surgical techniques have made it simpler to change the confi guration of a ridge to create a more aesthetic and more easily cleansable shape. the purpose of this study was to compare the effi cacy of alveolar ridge augmentation using a subepithelial connective tissue graft in pouch an...
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ژورنال
عنوان ژورنال: Analytical Cellular Pathology
سال: 2001
ISSN: 0921-8912,1878-3651
DOI: 10.1155/2001/626382