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 ...
Abstract: This paper discusses the development of a bi-directional flyback micro-inverter for grid-connected solar photovoltaic module power control. This micro-inverter uses a transformer with a ...
In ultrasonography, the bi-dimensional mode (B-mode) allows the morphological and morphometric evaluation of several types of organs and tissues, while the Doppler mode allows the hemodynamic ...
Dec 11 (Reuters) - The U.S. Food and Drug Administration has approved Flow Neuroscience's at-home brain stimulation device to treat depression, offering an alternative to typical antidepressants that ...
The FDA has approved its first at-home, nondrug therapy for depression, with a wearable brain stimulation headset developed by Flow Neuroscience. The agency issued a green light that covers the device ...
General Settings - Decide whether you need a static list of segments or dynamic from a data source Decide whether you need a max value or not. 2a. no max value - the sum of the segments will be ...
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