Design and Implementation of Pulmonary Nodule Dataset Based on OneNET Cloud Platform
Lung cancer has the highest incidence rate and mortality worldwide.Its early manifestation is small nodules in lung CT images,and early detection and treatment are crucial for improving the survival rate of lung cancer patients.In recent years,object detection technology has gradually been applied in the field of medical image processing,becoming an intelligent auxiliary means for lung cancer screening.Target detection requires a large amount of data as the basis for feature extraction,and the accuracy of target localization is directly affected by the training dataset.However,at present,there is no clean lung nodule dataset in China that can directly perform target detection.Therefore,this system uploads pre processed lung CT images and target detected lung CT images to the cloud platform for data sharing,and builds a lung nodule detection dataset suitable for China,providing a data foundation for the research of computer-aided diagnosis methods.
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