Reliable and accurate measurements serve as the basis for evaluation in many scientific
disciplines. Issues related to reliable and accurate measurement have evolved over many …

Quantitative biomarkers from medical images are becoming important tools for clinical
diagnosis, staging, monitoring, treatment planning, and development of new therapies …

Agreement among at least two evaluators is an issue of prime importance to statisticians,
clinicians, epidemiologists, psychologists, and many other scientists. Measuring …

Automated segmentation of the amygdala and the hippocampus is of interest for research
looking at large datasets where manual segmentation of T1-weighted magnetic resonance …

Tracking antimalarial drug use and efficacy is essential for monitoring the current spread of
antimalarial drug resistance. However, available methods for determining tablet quality and …

ROC curves and summary measures of accuracy derived from them, such as the area under
the ROC curve, have become the standard for describing and comparing the accuracy of …

ABSTRACT The Osiris and Sirscan 2000 systems are two semiautomated systems that can
be used to read and interpret the results on disk diffusion agar plates. They are both used for …

Weight and height measurements are important data for the evaluation of nutritional status
but some situations prevent the execution of these measurements in the standard manner …

We derive the mapping between two of the most pervasive utility functions, the mean square
error ($ MSE $) and the concordance correlation coefficient (CCC, $\rho_c $). Despite its …

In this article, we have designed a fast and reliable Diabetic Retinopathy (DR) detection
technique in Hadoop framework, which can identify the early signs of diabetes from eye …