Review of image segmentation techniques for biomedical micro-CT: from laboratory absorption imaging to synchrotron phase-contrast
This academic review examines current image segmentation techniques for biomedical micro-CT, comparing traditional methods with modern deep-learning approaches. It highlights the challenges of processing high-resolution synchrotron data and identifies future research directions for the field.
Why it matters
Advancements in these imaging techniques are critical for non-destructive biomedical research and high-throughput diagnostic imaging.
We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.
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