Image recognition leverages machine learning and artificial intelligence (AI) to analyze histological images. Initially, a large dataset of annotated images is used to train the algorithm. The system learns to recognize patterns, structures, and abnormalities by analyzing these labeled images. Once trained, the algorithm can analyze new, unlabeled images and provide diagnostic insights.
