Lung Nodule Classification

Classifying lung nodules refers to the process of accurately identifying and categorizing nodules in the lungs using advanced image recognition and machine learning technologies. The goal is to distinguish between benign and malignant nodules, thereby enhancing the accuracy and efficiency of early lung cancer diagnosis. This technology has significant application value in clinical diagnostics, aiding doctors in formulating more appropriate treatment plans and improving patient survival rates and quality of life.