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Updated: May 14, 2025
10:17
Guidelines and Experience Using Imaging Biomarker Explorer IBEX for Radiomics
Published on: January 8, 2018
13.1K
Insights into radiomics: a comprehensive review for beginners
Francesco Mariotti1, Andrea Agostini1,2, Alessandra Borgheresi3,4
1Department of Clinical, Special and Dental Sciences, University Politecnica delle Marche, Via Tronto, 10/A, 60126, Ancona, Italy.
Summary
This review offers a practical guide to radiomics and artificial intelligence (AI) in medical imaging for researchers. It details the radiomics workflow, from data preparation to AI model validation, to aid in clinical and research applications.
Area of Science:
- Medical Imaging
- Radiology
- Artificial Intelligence
Background:
- Radiomics and AI are transforming medical imaging but present technical challenges.
- Early-career professionals need guidance for integrating these technologies.
Purpose of the Study:
- To provide a practical guide for implementing radiomics and AI in medical imaging research.
- To offer insights into the radiomics workflow, challenges, and future directions.
Main Methods:
- Structured overview of the radiomics workflow.
- Detailed steps including dataset definition, image preprocessing, segmentation, feature extraction, and AI model training/validation.
- Discussion of various methods with illustrative examples and diagrams.
Main Results:
- Provides a comprehensive understanding of the radiomics pipeline.
- Highlights practical considerations and potential challenges in implementation.
- Equips readers with hands-on research knowledge.
Conclusions:
- This review empowers researchers to approach radiomics and AI in medical imaging with confidence.
- Facilitates the integration of radiomics and AI into clinical and research settings.
- Aims to advance the practical application of these technologies in the field.
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