In cancer diagnosis, machine weights are utilized in various algorithms to analyze medical data such as imaging scans, genetic information, and patient history. These weights help in identifying patterns and markers that are indicative of cancerous growths. For example, in a neural network designed to detect breast cancer from mammograms, the weights will determine the significance of different features like mass shape, density, and margins.
