Reproducibility in medical image processing

Ninon Burgos

doi:10.1117/12.3023602

3 April 2024 Reproducibility in medical image processing

Ninon Burgos

Proceedings Volume 12926, Medical Imaging 2024: Image Processing; 129260N (2024) https://doi.org/10.1117/12.3023602
Event: SPIE Medical Imaging, 2024, San Diego, California, United States

Abstract

Reproducibility is a key component of science, as the replication of findings is the process by which they become knowledge. It is widely considered that many fields of science, including medical imaging, are undergoing a reproducibility crisis. This has led to the publications of various guidelines to improve research reproducibility, such as the checklists proposed by NeurIPS or MICCAI. In this presentation, after introducing various concepts related to reproducibility, we will discuss the fact that using such checklists is not straightforward, both for the authors that have to fill them and for the reviewers that have to comment them, and that their use remains to be clarified for reproducible research to grow in the medical image processing field.

Conference Presentation

Citation Download Citation

Ninon Burgos "Reproducibility in medical image processing", Proc. SPIE 12926, Medical Imaging 2024: Image Processing, 129260N (3 April 2024); https://doi.org/10.1117/12.3023602

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