How Does Machine Learning Aid in Cancer Detection?
Machine learning algorithms can be trained to recognize patterns in data that are indicative of cancer. For example, convolutional neural networks (CNNs) are particularly effective in analyzing imaging data to detect tumors. Algorithms can also predict the likelihood of cancer recurrence based on patient clinical data, helping in the development of personalized treatment plans.
