Results 281 to 290 of about 24,246,868 (339)

Usefulness of Texture Analysis Using MRI in Thymic Epithelial Tumors. [PDF]

Cureus
Li XF, Saito K, Shibukawa S, Yoshimaru D, Araki Y, Takara Y, Partk J, Matubayashi J, Ikeda N, Ishida M.   +9 more
europepmc   +1 more source

Exploration of the Prediction of the Survival Cycle and Influencing Factors of Chinese Patients With Advanced Cancer Based on Multi-Model Analysis. [PDF]

Med Sci Monit
Jiang L, Fan W, Zhang C.
europepmc   +1 more source

Web-based, Interactive Receiver Operating Characteristics (ROC) Analysis.

, 2001
Mark G. Weiner, Robert M. Centor
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Receiver Operating Characteristic (ROC) Analysis of Image Search-and-Localize Tasks

Academic Radiology, 2020
Receiver operating characteristic (ROC) analysis for the common image search-and-localize task, in which readers search an image for lesion or lesions not knowing a priori any exists, has been studied for over four decades. However, a satisfactory solution seems elusive.We show that the ROC curve predictive of clinical outcomes where readers are ...
Yulei Jiang
exaly   +3 more sources

Receiver operating characteristic (ROC) analysis: Basic principles and applications in radiology

European Journal of Radiology, 1998
Receiver operating characteristic (ROC) analysis is a widely accepted method for analyzing and comparing the diagnostic accuracy of radiological tests. In this paper we will explain the basic principles underlying ROC analysis and provide practical information on the use and interpretation of ROC curves.
Arian van Erkel, P M Pattynama
exaly   +3 more sources

Receiver operating characteristic (ROC) analysis for diagnostic examinations with uninterpretable cases

Statistics in Medicine, 2002
AbstractReceiver operating characteristic (ROC) analysis plots true positive rates over false positive rates to describe the discriminatory power of a test to differentiate between two specifiable populations (that is ‘normal’ from ‘abnormal’) using a continuous dichotomous threshold. This assumes that the test separates cases into observed ‘normal’ or
Ying Lu
exaly   +3 more sources

An application of lomax distributions in receiver operating characteristic(roc)curve analysis

Communications in Statistics - Theory and Methods, 1993
Receiver operating characteristic(ROC)curves are useful for studying the performance of diagnostic tests. ROC curves occur in many fields of applications including psychophysics, quality control and medical diagnostics. In practical situations, often the responses to a diagnostic test are classified into a number of ordered categories.
Makarand V Ratnaparkhi, Gregory Campbell   +1 more
exaly   +2 more sources