AutoML integrates various machine learning algorithms with histological data to automate tasks such as image segmentation, feature extraction, and classification. By feeding large datasets into AutoML frameworks, the system learns to recognize patterns and anomalies within histological images, providing valuable insights with minimal human intervention.
