Can Convolutional Neural Network Delineate OAR in Lung Cancer More Accurately and Efficiently Compared with Atlas Based Method？

Abstract

group, the median risk score based on the RSF model can significantly stratify patients into low-vs. high-risk groups for suffering disease progression (P<0.001, log-rank test). Using the same cutoff value, the RSF model was validated by the testing group (PZ 0.016,log-rank test). Conclusion: Integration of tumor and nodal imaging characteristics at pre and mid-treatment PET scans may allow better prediction of progression-free survival for local advanced NSCLC patients, and help to optimize radiation intensity or modify the therapeutic regimen.

Security design and application of Internet of things based on asymmetric encryption algorithm and neural network for COVID-19

“…Irreparable economic losses are caused [12,13]. At present, the number of terminal node devices is huge and the types are complex [11].…”

“…At present, the number of terminal node devices is huge and the types are complex [11]. Once the equipment protection is not in place, the network security cannot be guaranteed reliably, which ultimately affects the stability of information transmission [12,13].…”