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.

Abstract