In histology, random forests can be utilized for various purposes, such as image analysis, classification of tissue types, and prediction of disease outcomes. For example, they can help in distinguishing between benign and malignant tumors by analyzing histological images. The algorithm can also be used to classify different cell types within a tissue sample, aiding in the diagnosis and research of diseases.
