565-05-010 ISMRM Abstract

Methods and Reliability of using nnU-Net to Automatically Segment the Large Bowel

Primary: Analysis Methods - Segmentation and Detection

Secondary: Body - Digestive

565-05-010 · Segmentation for Body Applications · Wednesday, 13 May, 4:00 PM–4:55 PM · Digital Posters Row F

Keywords: Deep Learning Segmentation Large Bowel Colon

Accepted

Abi Spicer^1,2, Stephen Lloyd-Brown³, Neele Dellschaft², Caroline Hoad², Luca Marciani¹, Robin Spiller¹, Penny Gowland ^2,4

¹Nottingham Digestive Diseases Centre, Translational Medical Sciences, School of Medicine, University of Nottingham, Nottingham, United Kingdom

²Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, Nottingham, United Kingdom

³Intelligent Modelling and Analysis, University of Nottingham, Nottingham, United Kingdom

⁴NIHR Nottingham Biomedical Research Centre, University of Nottingham, Nottingham, United Kingdom

Presenting Author: Penny Gowland

Synopsis

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References

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6. (ISMRM 2025) Ingesting methylcellulose fibre gels are as effective as psyllium in reducing colonic fermentation of inulin – a first step to IBS symptom relief [Internet]. [cited 2025 Oct 20]. Available from: https://archive.ismrm.org/2025/4927_YJRBXMSjt.html

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Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/565-05-010