Abstract: Breast cancer is one of the most prevalent and life-threatening diseases affecting women worldwide. Early and accurate diagnosis is critical for effective treatment and improved patient ...
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 ...
A reproducible, containerized machine-learning pipeline that classifies Iris flower species from morphological measurements. This version includes full data validation, modular code structure, and ...
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