Study on classification of pulmonary nodules based on Lung-RADS standard
Principal Investigator
Name
Zhiwei Deng
Degrees
B.S.
Institution
Zhengzhou University
Position Title
Student
Email
About this CDAS Project
Study
NLST
(Learn more about this study)
Project ID
NLST-1047
Initial CDAS Request Approval
Apr 19, 2023
Title
Study on classification of pulmonary nodules based on Lung-RADS standard
Summary
In this study, I plan to use convolutional neural network to classify pulmonary nodules and establish a classification model based on it, in which the classification standard is Lung-RADS. The NLST data set is required to train and test the model.
Aims
I will evaluate the performance of the classification model, including accuracy, sensitivity, specificity and the area under the receiver operating characteristic curve. To verify the significance of deep learning in medical image processing.
Collaborators
none