How Does Reinforcement Learning Work in Histology?
In histology, images of tissue samples are analyzed to detect abnormalities or classify tissue types. An RL agent can be trained to identify patterns and make decisions based on the visual data. The agent interacts with a histological image environment, receiving feedback in the form of rewards for correct identifications and penalties for incorrect ones.
