What question did this study set out to answer?

The aim is to evaluate and summarize recent segmentation techniques for biomedical micro-CT, focusing on synchrotron radiation phase-contrast methods.

August 2, 2026npj ImagingOpen Access

Review of image segmentation techniques for biomedical micro-CT: from laboratory absorption imaging to synchrotron phase-contrast

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HSHao SongMinistry of Education of the People's Republic of China NZNing ZhuUniversity of Saskatchewan

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Implication

Review outlines segmentation methods for biomedical micro-CT, highlighting implications for synchrotron imaging.

Key Points

The aim is to evaluate and summarize recent segmentation techniques for biomedical micro-CT, focusing on synchrotron radiation phase-contrast methods.
Reviewed various segmentation approaches in biomedical micro-CT, including traditional and data-driven models.
Analyzed recent advances in vision transformers and their application to segmentation tasks.
Identified trends in deep-learning techniques and outlined current limitations in SR-PCI-μCT segmentation.
Traditional methods are effective for high-contrast structures but struggle with low-contrast soft tissues.
Data-driven models achieve higher accuracy but depend on large expert-annotated datasets.
Vision transformers mark a shift toward domain-specific segmentation techniques, yet adaptation for SR-PCI-μCT is still needed.

Cite This Study

Song et al. (2026) studied this question.

synapsesocial.com/papers/6a6eea811b0468a7eeab2c96 https://doi.org/10.1038/s44303-026-00188-1

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Review of image segmentation techniques for biomedical micro-CT: from laboratory absorption imaging to synchrotron phase-contrast

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Implication

Key Points

Cite This Study

Review of image segmentation techniques for biomedical micro-CT: from laboratory absorption imaging to synchrotron phase-contrast

Discussion

Member takes

Implication

Key Points

Cite This Study

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