How Are AI Systems Trained for Histological Analysis?
AI systems are typically trained using a technique called supervised learning. This involves feeding the AI system a large number of labeled histological images, where the diagnosis for each image is known. The system then learns to associate specific features in the images with particular diagnoses. Over time, the AI system becomes adept at recognizing these features in new, unlabeled images.
