In this paper, we proposed a low-cost, high-accuracy residual multilayer perceptrons (ResMLP) recurrence prediction method.
It has strong fusion and generalization ability, robustness, and high accuracy, and can meet the recurrence prediction task of all non-small cell lung cancer.
A low-cost, high-accuracy residual multilayer perceptrons-based genotype-guided recurrence (ResMLP_GGR) prediction method is proposed that uses a gene ...
They are cheap but have low accuracy. In contrast, the use of gene expression data to predict the recurrence of NSCLC has high accuracy. However, the ...
Overview of residual multilayer perceptrons-based genotype-guided recurrence (ResMLP_GGR) model prediction of non-small cell lung cancer. A. Feature ...
In this study, a low-cost, high-accuracy residual multilayer perceptrons-based genotype-guided recurrence (ResMLP_GGR) prediction method is proposed that uses a ...
Residual Multilayer Perceptrons for Genotype-Guided Recurrence Prediction of Non-Small Cell Lung Cancer. EMBC. Yang Ai; ,; Panyanat Aonpong; ,; Weibin Wang ...
People also ask
What is the prognosis for non small cell lung cancer recurrence?
Is there gene therapy for non small cell lung cancer?
What is the new treatment for non small cell lung cancer?
What is a relapsed non small cell lung cancer?
Integrating Radiomics with Genomics for Non-Small Cell Lung Cancer Survival Analysis · Residual Multilayer Perceptrons for Genotype-Guided Recurrence Prediction ...
Residual multilayer perceptrons for genotype-guided recurrence prediction of non-small cell lung cancer. Y Ai, P Aonpong, W Wang, Y Li, Y Iwamoto, X Han, YW ...
Oct 26, 2023 · The present study aimed to evaluate the effectiveness of a neural network in predicting lung cancer recurrence.