A Michigan Tech-developed machine learning model uses probability to more accurately classify breast cancer shown in histopathology images and evaluate the uncertainty of its predictions. Breast ...
Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...
Researchers are embarking on a pioneering endeavor to integrate an innately human characteristic, which is "uncertainty," into machine learning systems. This venture offers potential benefits in ...
When we were at school we probably believed that science and mathematics were primarily concerned with offering definitive answers. But grown-up scientists and engineers know that this is rarely the ...
Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more Let the OSS Enterprise newsletter guide ...
A new analysis shows that researchers using machine learning methods could risk underestimating uncertainties in their final results. A new analysis shows that researchers using machine learning ...
Breast cancer is the most common cancer with the highest mortality rate. Swift detection and diagnosis diminish the impact of the disease. However, classifying breast cancer using histopathology ...
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