Pulmonary Nodules Classification

Lung nodule classification refers to the identification and categorization of nodules in the lungs using medical imaging techniques to distinguish between benign and malignant lesions. This task aims to improve the accuracy and efficiency of early lung cancer screening, reduce misdiagnosis rates, and provide a scientific basis for clinical diagnosis and treatment. By utilizing advanced algorithms such as deep learning, lung nodule classification can automate the processing of large amounts of imaging data, accelerate disease detection processes, and enhance the utilization of medical resources.