Algorithms in histological analysis work by processing digital images of tissue sections. They use techniques such as image segmentation to identify distinct regions within a sample, followed by feature extraction to quantify specific characteristics of cells and tissues. These features are then used to classify the sample, often employing neural networks or other machine learning models to improve decision-making accuracy.
