Domain adaptation for white blood cell classification - Bridging the gap created by optical hardware upgrades
Collecting enough labeled images to train an artificial neural network (ANN) is a common struggle since the process is tedious, time consuming and expensive. CellaVision, a company that creates analyzers that automate the process of finding and pre-classifying abnormal blood cells using machine learning, runs into this problem regularly. When new generations of analyzers are being produced, the im