
How to create accurate training data for cell classification algorithms
Creating high-quality training data is a critical step when designing algorithms to detect and classify cells. Training data are example data points that are used to develop an algorithm. For example: a set of images, each of which might or might not contain a cell, plus human-generated tags indicating whether each image actually contains a cell.