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

April 27, 2026DiagnosticsOpen Access

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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.

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Guidelines reveal machine learning workflow for radiomics studies, highlighting practical steps for effective implementation.

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Cè et al. (2026) studied this question.

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