Comparison of Deep-Learning Models for Classification of Cellular Phenotype From Flow Cytometry Data
Abstract: This study compares the relative utility of deep learning models as automated phenotypic classifiers, built with features of peripheral blood cell populations assayed with flow cytometry. We ...
Artificial Intelligence is growing fast, and professionals now need both data science knowledge and Generative AI skills. These programs teach solid technical basics along with fundamental GenAI tools ...
Infeasible paths constitute a bottleneck for the complete automation of software testing, one of the most expensive activities of software quality assurance. Research efforts have been spent on ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results