نتایج جستجو برای: receiver operator characteristic curve
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The Visual Concept Detection Task (VCDT) of ImageCLEF 2008 is described. A database of 2,827 images were manually annotated with 17 concepts. Of these, 1,827 were used for training and 1,000 for testing the automated assignment of categories. In total 11 groups participated and submitted 53 runs. The runs were evaluated using ROC curves, from which the Area Under the Curve (AUC) and Equal Error...
بدین منظور تعداد 214 نمونه خاک از دو عمق 10-0 و 50-40 سانتیمتر با استفاده از روش سیستماتیک و فواصل شبکه 9/0×9/0 کیلومتر از منطقه مطالعاتی جمع آوری شد و خصوصیات فیزیکوشیمیایی آنها از قبیل اسیدیته، هدایت الکتریکی، ماده آلی، ظرفیت تبادل کاتیونی، بافت خاک، میزان اکسیدهای آزاد آهن و منگنز، آنیون های کربنات، فسفات و سولفات و همچنین لایه های کمکی زمین شناسی و شیب به عنوان متغیر های اصلی موثر بر غلظت و...
The RX anomaly detector is well known for its unsupervised ability to detect anomalies in hyperspectral images (HSI). However, the RX method assumes the data is uncorrelated and homogeneous, both of which are not inherent in HSI data. To defeat the correlation and homogeneity, a new method dubbed Iterative Linear RX is proposed. Rather than the test pixel being inside a window used by RX, Itera...
OBJECTIVE: To compare the diagnostic accuracy of Anti-Mullerian hormone with follicle stimulating hormone for ovarian reserve assessment in infertile women by Receiver Operator Characteristic curve analysis. STUDY DESIGN: A Cross Sectional study. PLACE AND DURATION OF STUDY: At Institute of Basic Medical Sciences, University of Health Sciences in collaboration with nd th Gynecology and Obstetri...
In the remember-know paradigm for studying recognition memory, participants distinguish items whose presentations are episodically remembered from those that are merely familiar. A one-dimensional model postulates that remember responses are just high-confidence old judgments, but a meta-analysis of 373 experiments shows that the receiver operating characteristic (ROC) curves predicted by this ...
We address the problem of applying machine-learning classifiers in domains where incorrect classifications have severe consequences. In these domains we propose to apply classifiers only when their performance can be defined by the domain expert prior to classification. The classifiers so obtained are called reliable classifiers. In the article we present three main contributions. First, we est...
Compare the accuracy of two continuous-scale tests is increasing important when a new test is developed. The traditional approach that compares the entire areas under two Receiver Operating Characteristic (ROC) curves is not sensitive when two ROC curves cross each other. A better approach to compare the accuracy of two diagnostic tests is to compare the areas under two ROC curves (AUCs) in the...
BACKGROUND Ultrasonography (US) is a useful tool for breast imaging, yet is highly operator-dependent. OBJECTIVES We evaluated inter-observer variability and performance discrepancies between faculty members and radiology residents when describing breast lesions, by the fifth edition of breast imaging reporting and data system (BI-RADS)-US lexicon, and then attempted to identify whether inter...
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