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This is a Quantitative Study study.

October 17, 2025Open Access

Benchmarking of Deep Learning Methods for Generic MRI Multi-Organ Abdominal Segmentation

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Benchmarking evaluates MRI segmentation accuracy using deep learning methods, highlighting data annotation challenges.

MRSegmentator shows the highest accuracy and generalizability among assessed MRI segmentation tools.
ABDSynth provides an alternative option with lower accuracy but minimal data annotation needs.
The benchmarking process utilizes three public datasets comprising diverse MRI sequences and conditions.
Open-source models MRSegmentator, MRISegmentator-Abdomen, and TotalSegmentator MRI were rigorously evaluated.

Krishnaswamy et al. (2025) studied this question.

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