Support Vector Machines (SVM) are a type of supervised machine learning algorithm used for classification and regression tasks. In the context of Histology, SVMs are particularly useful for analyzing complex microscopy images and distinguishing between different types of tissues or cellular structures. They work by finding a hyperplane that best separates the data into different classes, making them ideal for dealing with high-dimensional data often encountered in histological studies.
