Correction: Cross-dataset adaptation of voxel-level deep radiomics for predicting survival in inoperable locally advanced NSCLC treated with immunotherapy | Synapse
April 21, 2026Open Access
Correction: Cross-dataset adaptation of voxel-level deep radiomics for predicting survival in inoperable locally advanced NSCLC treated with immunotherapy
Key Points
This correction addresses issues in the application of voxel-level deep radiomics for predicting survival in NSCLC patients treated with immunotherapy.
Cross-dataset adaptation techniques applied to deep radiomics algorithms.
Evaluation of predictive accuracy across different datasets.
Focus on inoperable locally advanced NSCLC cases.
Enhanced predictive accuracy for survival outcomes in NSCLC patients.
Identification of potential biases in earlier analyses.
Recommendations for improved methodologies in future studies.