DETECTION OF BREAST CANCER -A MACHINE LEARNING APPROACH

Machine learning approaches have emerged as a powerful tool for detecting breast cancer. By analyzing large datasets of medical images, machine learning models can identify patterns and features that may indicate the presence of cancerous cells. This process involves collecting and preprocessing data, extracting relevant features, developing and training machine learning models, and evaluating their performance. While machine learning models can enhance the accuracy and efficiency of breast cancer detection, they should be used as decision support tools in conjunction with medical professionals. The ultimate goal is to improve diagnostic accuracy and provide valuable insights for treatment decisions.