Correct internal test set size to 189 patients
Browse files
README.md
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**Sequence-agnostic whole-liver segmentation on abdominal MRI.**
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LiverSegMRI is a five-fold nnU-Net v2 ensemble (`3d_fullres`, `nnUNetTrainerNoMirroring`) that segments the whole
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- T1-weighted in- and opposed-phase
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- T2-weighted
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| Resource | Link |
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| Test set | Patients | LiverSegMRI | TotalSegmentator MRI | MRAnnotator |
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| External: Duke Liver Dataset and CirrMRI600+ | 487 | **0.944** | 0.886 | 0.889 |
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| Internal: held out |
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| Development: out-of-fold | 1,058 | 0.983 | — | — |
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External test set, LiverSegMRI vs comparators:
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| HD95 (mm) | 6.6 | 15.3 | 27.0 |
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| Volume error (%) | 5.0 | 13.9 | 12.5 |
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- **By field strength:** performance was similar at 1.5 T and 3.0 T.
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- **Comparisons with the other models:** all paired comparisons were significant with Holm-adjusted P < .001.
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### Performance across sequence types and liver morphology
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- **E–H, T2-weighted imaging.** The liver is dark against a bright spleen; both comparators under-segment the dome and the left lobe (0.96 vs 0.74 and 0.75).
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- **I–L, diffusion-weighted imaging.** The lowest-resolution sequence shown: TotalSegmentator MRI misses the posterior right lobe and MRAnnotator fragments inside the parenchyma, while LiverSegMRI reproduces the reference almost exactly (0.98 vs 0.68 and 0.79).
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See the paper for sequence-wise, subgroup, failure, and label-matched analyses.
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## Intended use and limitations
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**Sequence-agnostic whole-liver segmentation on abdominal MRI.**
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LiverSegMRI is a five-fold nnU-Net v2 ensemble (`3d_fullres`, `nnUNetTrainerNoMirroring`) that segments the whole liver on a single abdominal MRI sequence. It needs no sequence labels and handles:
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- T1-weighted in- and opposed-phase
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- pre-contrast and dynamic post-contrast (early and late arterial, portal venous, transitional or delayed)
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- hepatobiliary phase
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- T2-weighted
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- diffusion-weighted and ADC
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| Resource | Link |
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|---|---|
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| Test set | Patients | LiverSegMRI | TotalSegmentator MRI | MRAnnotator |
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| 90 |
|---|---:|---:|---:|---:|
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| External: Duke Liver Dataset and CirrMRI600+ | 487 | **0.944** | 0.886 | 0.889 |
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| Internal: held out | 189 | **0.985** | 0.880 | 0.894 |
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| Development: out-of-fold | 1,058 | 0.983 | — | — |
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External test set, LiverSegMRI vs comparators:
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| HD95 (mm) | 6.6 | 15.3 | 27.0 |
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| Volume error (%) | 5.0 | 13.9 | 12.5 |
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- **By field strength:** in Mount Sinai patients with DICOM metadata, performance was similar at 1.5 T and 3.0 T.
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- **Comparisons with the other models:** all paired comparisons were significant with Holm-adjusted P < .001.
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### Performance across sequence types and liver morphology
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- **E–H, T2-weighted imaging.** The liver is dark against a bright spleen; both comparators under-segment the dome and the left lobe (0.96 vs 0.74 and 0.75).
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| 123 |
- **I–L, diffusion-weighted imaging.** The lowest-resolution sequence shown: TotalSegmentator MRI misses the posterior right lobe and MRAnnotator fragments inside the parenchyma, while LiverSegMRI reproduces the reference almost exactly (0.98 vs 0.68 and 0.79).
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The pattern matches the quantitative result above: the models agree most on high-resolution contrast-enhanced T1-weighted imaging and diverge on T2-weighted and diffusion-weighted acquisitions.
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See the paper for sequence-wise, subgroup, failure, and label-matched analyses.
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## Intended use and limitations
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