Longitudinal Phenotyping of Circulating Tumor Cells using a Scalable Deep Learning Framework.
This work developed and clinically validated the System for Enhanced Evaluation of Tumor Cells (SEE-TC), a deep learning approach for scalable, reproducible phenotyping of individual circulating cells that is the first fully automated AI approach to single-cell segmentation and CTC phenotyping.