Correction: Cè et al. Decoding Radiomics: A Step-by-Step Guide to Machine Learning Workflow in Hand-Crafted and Deep Learning Radiomics Studies. Diagnostics 2024, 14, 2473

Key Points

• This research aims to provide a comprehensive guide for utilizing machine learning in radiomics studies, both with hand-crafted and deep learning approaches.
• Outlined step-by-step workflow for machine learning in radiomics.
• Integrated techniques for both hand-crafted feature extraction and deep learning methods.
• Addressed essential aspects of algorithm implementation and evaluation.
• Presented a structured approach to enhance reproducibility in radiomics studies.
• Identified best practices for optimizing machine learning performance in image diagnostics.
• Showcased case examples demonstrating the application of the proposed methods.