Deep Learning (DL), a subset of Machine Learning (ML), offers powerful features to enhance accuracy for image classification during the critical pre-sort phase in IVD systems, solutions which can combine with classic Computer Vision (CV) approaches to overcome and future-proof against many of the traditional CV challenges that have held back sample testing throughput.
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