Prediction of pulmonary nodular malignant wind and its progression based on axial attention and lung CT
Principal Investigator
Name
lehua yu
Degrees
Master
Institution
Hunan University Of Science And Technology
Position Title
student
Email
About this CDAS Project
Study
NLST
(Learn more about this study)
Project ID
NLST-1069
Initial CDAS Request Approval
Jun 2, 2023
Title
Prediction of pulmonary nodular malignant wind and its progression based on axial attention and lung CT
Summary
A prediction model of malignant risk and progression of pulmonary nodules is constructed with Transformer model containing axial attention mechanism combined with various network frameworks such as convolutional neural network and multi-layer perceptron, so as to predict the growth trend and possible malignant transformation risk of pulmonary nodules.To provide a more accurate prediction method for malignant risk and progression of pulmonary nodules, and to provide a scientific basis for clinicians to make targeted treatment plans and follow-up plans.For patients, early detection of pulmonary nodular lesions and timely establishment of a prediction model of malignant risk and progression of pulmonary nodules can provide an important auxiliary decision for clinical treatment.At the same time, it is helpful to improve the efficiency of follow-up, adjust the treatment plan in time and improve the therapeutic effect.
Aims
1) To provide a more accurate prediction method for malignant risk and progression of pulmonary nodules
2) To provide a scientific basis for clinicians to make targeted treatment plans and follow-up plans
3) Publish one achievement paper in the core journal recognized by the university or above.
Collaborators
Yanghang:Hunan University Of Science And Technology