英文标题
Advances in the Classification of Benign and Malignant Pulmonary Nodules Based on Machine Learning
英文摘要
The advantages and disadvantages of computed tomography (CT) and other imaging methods of pulmonary nodules are analyzed. Then, the two CT image databases and their file composition that researchers use most at present are introduced. Finally, from the four perspectives of traditional artificial features, deep learning, database selection and multi-classification, the specific application and progress of benign and malignant classification of pulmonary nodules are mainly discussed and prospected.
获取号
WF:perioarticalHANS202106230285
